TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the estimated probability that a home owner with a family income of $50,000 and a lawn size of 5,000 square feet will purchase a lawn service?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the estimated odds ratio for a home owner with a family income of $50,000 and a lawn size of 2,000 square feet?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -True or False: Referring to Table 14-19,the null hypothesis that the model is a good-fitting model cannot be rejected when allowing for a 5% probability of making a type I error.

The p-value for the lack of fit test is 0.21, which is greater than the significance level of 0.05. Therefore, we fail to reject the null hypothesis and conclude that the model is a good-fitting model.

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the p-value of the test statistic when testing whether LawnSize makes a significant contribution to the model in the presence of Income?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,which of the following is the correct interpretation for the Income slope coefficient? A)Holding constant the effect of lawn size,the estimated number of lawn services purchased increases by 0.0304 for each increase of one thousand dollars in family income. B)Holding constant the effect of lawn size,the estimated average number of lawn services purchased increases by 0.0304 for each increase of one thousand dollars in family income. C)Holding constant the effect of lawn size,the estimated probability of purchasing a lawn service increases by 0.0304 for each increase of one thousand dollars in family income. D)Holding constant the effect of lawn size,the estimated natural logarithm of the odds ratio of purchasing a lawn service increases by 0.0304 for each increase of one thousand dollars in family income.

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the estimated odds ratio for a home owner with a family income of $100,000 and a lawn size of 2,000 square feet?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,which of the following is the correct interpretation for the Lawn Size slope coefficient? A)Holding constant the effect of income,the estimated number of lawn services purchased increases by 1.2804 for each increase of one thousand square feet in lawn size. B)Holding constant the effect of income,the estimated average number of lawn services purchased increases by 1.2804 for each increase of one thousand square feet in lawn size. C)Holding constant the effect of income,the estimated probability of purchasing a lawn service increases by 1.2804 for each increase of one thousand square feet in lawn size. D)Holding constant the effect of income,the estimated natural logarithm of the odds ratio of purchasing a lawn service increases by 1.2804 for each increase of one thousand square feet in lawn size.

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -True or False: Referring to Table 14-19,there is not enough evidence to conclude that the model is not a good-fitting model at a 0.05 level of significance.

From the output, the p-value for lack of fit is 0.107, which is greater than the significance level of 0.05. Therefore, we cannot reject the null hypothesis that the model is a good-fitting model at a 0.05 level of significance.

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -True or False: Referring to Table 14-19,there is not enough evidence to conclude that LawnSize makes a significant contribution to the model in the presence of Income at a 0.05 level of significance.

Based on the output in Table 14-19, the p-value for LawnSize in the presence of Income is 0.711, which is greater than 0.05. Therefore, we cannot reject the null hypothesis that LawnSize does not make a significant contribution to the model at the 0.05 level of significance. This means that there is not enough evidence to conclude that LawnSize is a significant predictor of whether a home owner has a lawn service or not when controlling for Income.

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the estimated probability that a home owner with a family income of $100,000 and a lawn size of 2,000 square feet will purchase a lawn service?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the estimated probability that a home owner with a family income of $50,000 and a lawn size of 2,000 square feet will purchase a lawn service?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the p-value of the test statistic when testing whether the model is a good-fitting model?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what is the p-value of the test statistic when testing whether Income makes a significant contribution to the model in the presence of LawnSize?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what should be the decision ('reject' or 'do not reject')on the null hypothesis when testing whether LawnSize makes a significant contribution to the model in the presence of Income at a 0.05 level of significance?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -True or False: Referring to Table 14-19,there is not enough evidence to conclude that Income makes a significant contribution to the model in the presence of LawnSize at a 0.05 level of significance.

The statement implies that the p-value for Income is greater than 0.05, which would mean there is not enough evidence to conclude its significance. However, without the actual data or p-value from Table 14-19, we cannot definitively determine this.

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what should be the decision ('reject' or 'do not reject')on the null hypothesis when testing whether Income makes a significant contribution to the model in the presence of LawnSize at a 0.05 level of significance?

The answer of TABLE 14-19 The marketing manager for a nationally...

TABLE 14-19 The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service.A random sample of 30 home owners located in a suburban area near a large city was selected; 11 did not have a lawn service (code 0)and 19 had a lawn service (code 1).Additional information available concerning these 30 home owners includes family income (Income,in thousands of dollars)and lawn size (Lawn Size,in thousands of square feet). The PHStat output is given below: -Referring to Table 14-19,what are the degrees of freedom for the chi-square distribution when testing whether the model is a good-fitting model?

The answer of TABLE 14-19 The marketing manager for a nationally...

Quiz 14: Introduction to Multiple Regression

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