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Researchers at a Car Resale Company Are Trying to Build β\beta

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Researchers at a car resale company are trying to build a model to predict a car's 4-year resale value (in thousands of dollars)from several predictor variables.The variables they selected are as below.  Researchers at a car resale company are trying to build a model to predict a car's 4-year resale value (in thousands of dollars)from several predictor variables.The variables they selected are as below.   Data were collected on cars of different models made by different manufacturers.SPSS output for the least-squares regression model is given below.       Suppose we wish to test the hypotheses H<sub>0</sub>:  \beta <sub>1</sub> = 0 versus H<sub>a</sub>:  \beta <sub>1</sub>  \neq 0,where  \beta <sub>1</sub> is the coefficient for the variable type.Based on the 95% confidence interval given in the output,what do we know about the value of the P-value of this test? Data were collected on cars of different models made by different manufacturers.SPSS output for the least-squares regression model is given below.  Researchers at a car resale company are trying to build a model to predict a car's 4-year resale value (in thousands of dollars)from several predictor variables.The variables they selected are as below.   Data were collected on cars of different models made by different manufacturers.SPSS output for the least-squares regression model is given below.       Suppose we wish to test the hypotheses H<sub>0</sub>:  \beta <sub>1</sub> = 0 versus H<sub>a</sub>:  \beta <sub>1</sub>  \neq 0,where  \beta <sub>1</sub> is the coefficient for the variable type.Based on the 95% confidence interval given in the output,what do we know about the value of the P-value of this test?  Researchers at a car resale company are trying to build a model to predict a car's 4-year resale value (in thousands of dollars)from several predictor variables.The variables they selected are as below.   Data were collected on cars of different models made by different manufacturers.SPSS output for the least-squares regression model is given below.       Suppose we wish to test the hypotheses H<sub>0</sub>:  \beta <sub>1</sub> = 0 versus H<sub>a</sub>:  \beta <sub>1</sub>  \neq 0,where  \beta <sub>1</sub> is the coefficient for the variable type.Based on the 95% confidence interval given in the output,what do we know about the value of the P-value of this test?  Researchers at a car resale company are trying to build a model to predict a car's 4-year resale value (in thousands of dollars)from several predictor variables.The variables they selected are as below.   Data were collected on cars of different models made by different manufacturers.SPSS output for the least-squares regression model is given below.       Suppose we wish to test the hypotheses H<sub>0</sub>:  \beta <sub>1</sub> = 0 versus H<sub>a</sub>:  \beta <sub>1</sub>  \neq 0,where  \beta <sub>1</sub> is the coefficient for the variable type.Based on the 95% confidence interval given in the output,what do we know about the value of the P-value of this test? Suppose we wish to test the hypotheses H0: β\beta 1 = 0 versus Ha: β\beta 1 \neq 0,where β\beta 1 is the coefficient for the variable type.Based on the 95% confidence interval given in the output,what do we know about the value of the P-value of this test?

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