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A Researcher Is Investigating Possible Explanations for Deaths in Traffic β\beta

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A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.  A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.   As part of his investigation he ran the multiple regression model, Deaths =  \beta <sub>0</sub> +  \beta <sub>1</sub>(Children) +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>, Where the deviations  \varepsilon <sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of  \sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     The researcher also ran the simple linear regression model Deaths =  \beta <sub>0</sub> +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>. The following results were obtained from statistical software:     Based on the above results,the researcher tested the hypotheses H<sub>0</sub>:  \beta <sub>2</sub> = 0 versus H<sub>a</sub>:  \beta <sub>2 </sub> \neq 0.What do we know about the P-value of the test? A) P-value < 0.025 B) 0.025 <P-value < 0.05  C) 0.05 <P-value < 0.10  D) P-value > 0.10 As part of his investigation he ran the multiple regression model, Deaths = β\beta 0 + β\beta 1(Children) + β\beta 2(Income) + ε\varepsilon i,
Where the deviations ε\varepsilon i were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of σ\sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.  A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.   As part of his investigation he ran the multiple regression model, Deaths =  \beta <sub>0</sub> +  \beta <sub>1</sub>(Children) +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>, Where the deviations  \varepsilon <sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of  \sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     The researcher also ran the simple linear regression model Deaths =  \beta <sub>0</sub> +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>. The following results were obtained from statistical software:     Based on the above results,the researcher tested the hypotheses H<sub>0</sub>:  \beta <sub>2</sub> = 0 versus H<sub>a</sub>:  \beta <sub>2 </sub> \neq 0.What do we know about the P-value of the test? A) P-value < 0.025 B) 0.025 <P-value < 0.05  C) 0.05 <P-value < 0.10  D) P-value > 0.10  A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.   As part of his investigation he ran the multiple regression model, Deaths =  \beta <sub>0</sub> +  \beta <sub>1</sub>(Children) +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>, Where the deviations  \varepsilon <sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of  \sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     The researcher also ran the simple linear regression model Deaths =  \beta <sub>0</sub> +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>. The following results were obtained from statistical software:     Based on the above results,the researcher tested the hypotheses H<sub>0</sub>:  \beta <sub>2</sub> = 0 versus H<sub>a</sub>:  \beta <sub>2 </sub> \neq 0.What do we know about the P-value of the test? A) P-value < 0.025 B) 0.025 <P-value < 0.05  C) 0.05 <P-value < 0.10  D) P-value > 0.10 The researcher also ran the simple linear regression model
Deaths = β\beta 0 + β\beta 2(Income) + ε\varepsilon i.
The following results were obtained from statistical software:  A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.   As part of his investigation he ran the multiple regression model, Deaths =  \beta <sub>0</sub> +  \beta <sub>1</sub>(Children) +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>, Where the deviations  \varepsilon <sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of  \sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     The researcher also ran the simple linear regression model Deaths =  \beta <sub>0</sub> +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>. The following results were obtained from statistical software:     Based on the above results,the researcher tested the hypotheses H<sub>0</sub>:  \beta <sub>2</sub> = 0 versus H<sub>a</sub>:  \beta <sub>2 </sub> \neq 0.What do we know about the P-value of the test? A) P-value < 0.025 B) 0.025 <P-value < 0.05  C) 0.05 <P-value < 0.10  D) P-value > 0.10  A researcher is investigating possible explanations for deaths in traffic accidents.He examined data from 1991 for each of the 50 states plus Washington,DC.The data included information on the following variables.   As part of his investigation he ran the multiple regression model, Deaths =  \beta <sub>0</sub> +  \beta <sub>1</sub>(Children) +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>, Where the deviations  \varepsilon <sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of  \sigma .This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     The researcher also ran the simple linear regression model Deaths =  \beta <sub>0</sub> +  \beta <sub>2</sub>(Income) +  \varepsilon <sub>i</sub>. The following results were obtained from statistical software:     Based on the above results,the researcher tested the hypotheses H<sub>0</sub>:  \beta <sub>2</sub> = 0 versus H<sub>a</sub>:  \beta <sub>2 </sub> \neq 0.What do we know about the P-value of the test? A) P-value < 0.025 B) 0.025 <P-value < 0.05  C) 0.05 <P-value < 0.10  D) P-value > 0.10 Based on the above results,the researcher tested the hypotheses H0: β\beta 2 = 0 versus Ha: β\beta 2 \neq 0.What do we know about the P-value of the test?


A) P-value < 0.025
B) 0.025 <P-value < 0.05

C) 0.05 <P-value < 0.10

D) P-value > 0.10

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