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A Researcher Is Investigating Possible Explanations for Deaths in Traffic

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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 = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>(Children) + <font face= symbol ></font><sub>2</sub>(Income) + <font face= symbol ></font><sub>i</sub>, Where the deviations <font face= symbol ></font><sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of <font face= symbol ></font>.This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     Suppose we wish to test the hypotheses H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = <font face= symbol ></font><sub>2</sub> = 0 versus H<sub>a</sub>: at least one of the <font face= symbol ></font><sub>j</sub> is not 0 using the ANOVA F test.What can we say about the P-value for the ANOVA F test? A) P-value < 0.001 B) 0.001 <P-value < 0.005 C) 0.005 <P-value < 0.01 D) P-value > 0.01 As part of his investigation he ran the multiple regression model, Deaths = 0 + 1(Children) + 2(Income) + i,
Where the deviations i were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of .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 = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>(Children) + <font face= symbol ></font><sub>2</sub>(Income) + <font face= symbol ></font><sub>i</sub>, Where the deviations <font face= symbol ></font><sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of <font face= symbol ></font>.This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     Suppose we wish to test the hypotheses H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = <font face= symbol ></font><sub>2</sub> = 0 versus H<sub>a</sub>: at least one of the <font face= symbol ></font><sub>j</sub> is not 0 using the ANOVA F test.What can we say about the P-value for the ANOVA F test? A) P-value < 0.001 B) 0.001 <P-value < 0.005 C) 0.005 <P-value < 0.01 D) P-value > 0.01 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 = <font face= symbol ></font><sub>0</sub> + <font face= symbol ></font><sub>1</sub>(Children) + <font face= symbol ></font><sub>2</sub>(Income) + <font face= symbol ></font><sub>i</sub>, Where the deviations <font face= symbol ></font><sub>i</sub> were assumed to be independent and Normally distributed with a mean of 0 and a standard deviation of <font face= symbol ></font>.This model was fit to the data using the method of least squares.The following results were obtained from statistical software.     Suppose we wish to test the hypotheses H<sub>0</sub>: <font face= symbol ></font><sub>1</sub> = <font face= symbol ></font><sub>2</sub> = 0 versus H<sub>a</sub>: at least one of the <font face= symbol ></font><sub>j</sub> is not 0 using the ANOVA F test.What can we say about the P-value for the ANOVA F test? A) P-value < 0.001 B) 0.001 <P-value < 0.005 C) 0.005 <P-value < 0.01 D) P-value > 0.01 Suppose we wish to test the hypotheses H0: 1 = 2 = 0 versus Ha: at least one of the j is not 0 using the ANOVA F test.What can we say about the P-value for the ANOVA F test?


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