Question

Multiple linear regression results:
Dependent Variable: Cost
Independent Variable(s): Summated Rating
Cost = -43.111788 + 1.468875 Summated Rating

Parameter estimates:

Parameter	Estimate	Std. Err.	Alternative	DF	T-Stat	P-value
Intercept	-43.111788	10.56402	≠ 0	98	-4.0810021	<0.0001
Summated Rating	1.468875	0.17012937	≠ 0	98	8.633871	<0.0001

Analysis of variance table for multiple regression model:

Source	DF	SS	MS	F-stat	P-value
Model	1	8126.7714	8126.7714	74.543729	<0.0001
Error	98	10683.979	109.02019
Total	99	18810.75

Summary of fit:
Root MSE: 10.441273
R-squared: 0.432
R-squared (adjusted): 0.4262
Predicted values stored in new column: Pred. Value

9. Using your data file Restaurants , find: Summated Rating = Independent Variable; Cost = Dependent Variable

a. What is an appropriate null hypothesis for this simple linear regression?  b. What is the test statistic (F) for the regression? c. What is the value for Significance F for the regression d. What is your conclusion concerning the null hypothesis? Reject / Not Reject? e. What is the value of the r square? f. Interpret R Square (what does it mean)? g. What is the value of the slope? h. What is the value of the y intercept?

Answer 1