Which of the following is NOT one of the basic assumptions that must be satisfied in order to perform inference for regression of y on x?  

2.  If the assumptions for regression inference are met, then a normal probability plot of the residuals should be  

3.  If a test of hypotheses rejects Ho: b= 0 in favor of the alternative hypothesis Ha: b > 0, where b is the population regression slope, then the leastsquares regression line  

4.  Inference for regression on the population regression slope b is based on which of the following distributions?  

5.  In inference for regression, the statistic s represents  

6. 
A random sample of 80 companies from the Forbes 500 list was selected and the relationship between sales (in hundreds of thousands of dollars) and profits (in hundreds of thousands of dollars) was investigated by regression. A leastsquares regression line was fit to the data using statistical software, with sales as the explanatory variable and profits as the response variable. Here is the output from the software: Dependent variable is Profits R squares = 66.2% s = 466.2 with 80 2 = 78 degrees of freedom Variable Coefficient s.e. of Coefficient Pvalue Constant 176.644 61.16 0.0050 Sales 0.092498 0.0075 <0.0001 Approximately what is the intercept of the leastsquares regression line? 


7. 
A random sample of 80 companies from the Forbes 500 list was selected and the relationship between sales (in hundreds of thousands of dollars) and profits (in hundreds of thousands of dollars) was investigated by regression. A leastsquares regression line was fit to the data using statistical software, with sales as the explanatory variable and profits as the response variable. Here is the output from the software: Dependent variable is Profits R squares = 66.2% s = 466.2 with 80 2 = 78 degrees of freedom Variable Coefficient s.e. of Coefficient Pvalue Constant 176.644 61.16 0.0050 Sales 0.092498 0.0075 <0.0001 Approximately what is the 90% confidence interval for the slope of the leastsquares regression line? 


8. 
A random sample of 80 companies from the Forbes 500 list was selected and the relationship between sales (in hundreds of thousands of dollars) and profits (in hundreds of thousands of dollars) was investigated by regression. A leastsquares regression line was fit to the data using statistical software, with sales as the explanatory variable and profits as the response variable. Here is the output from the software: Dependent variable is Profits R squares = 66.2% s = 466.2 with 80 2 = 78 degrees of freedom Variable Coefficient s.e. of Coefficient Pvalue Constant 176.644 61.16 0.0050 Sales 0.092498 0.0075 <0.0001 What is the value of the t statistic for testing whether the slope of the leastsquares regression line is 0? 


9. 
A random sample of 80 companies from the Forbes 500 list was selected and the relationship between sales (in hundreds of thousands of dollars) and profits (in hundreds of thousands of dollars) was investigated by regression. A leastsquares regression line was fit to the data using statistical software, with sales as the explanatory variable and profits as the response variable. Here is the output from the software: Dependent variable is Profits R squares = 66.2% s = 466.2 with 80 2 = 78 degrees of freedom Variable Coefficient s.e. of Coefficient Pvalue Constant 176.644 61.16 0.0050 Sales 0.092498 0.0075 <0.0001 Is there strong evidence (and if so, why) of a straight line relationship between sales and profits? 


Subject  Mathematics 
Due By (Pacific Time)  08/01/2014 09:00 pm 
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