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A Statistician Wanted to Determine If the Demographic Variables of Age

Question 84

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A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Test the overall validity of the model at the 5% significance level.
What is the test statistic?
F = ______________
______________ A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Conclude that the model ______________ valid at the 5% level.
Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related?
What is test statistic?
t = ______________
______________ A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related.
Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related?
What is the test statistic?
t = ______________
______________ A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related.
What is the coefficient of determination? A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ = ______________
Interpret this value for A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ :
________________________________________________________
Interpret A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ :
________________________________________________________
Interpret A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ :
________________________________________________________
Interpret A statistician wanted to determine if the demographic variables of age, education, and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model: where y is the number of hours of television watched last week, x1 is the age (in years), x2 is the number of years of education, and x3 is income (in $1,000). The computer output is shown below. Test the overall validity of the model at the 5% significance level. What is the test statistic? F = ______________ ______________ Conclude that the model ______________ valid at the 5% level. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related? What is test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and age are linearly related. Is there sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related? What is the test statistic? t = ______________ ______________ Conclude that there ______________ sufficient evidence at the 1% significance level to indicate that hours of television watched and education are negatively linearly related. What is the coefficient of determination? = ______________ Interpret this value for : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ Interpret : ________________________________________________________ :
________________________________________________________

Correct Answer:

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3.73; Reject; is; 2.158; Do not reject; ...

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