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problem C

(Section 12.3) Testing the Usefulness of the Linear Regression Model Problem Ca Figure 3 shows a 'partially completed' ANOVA table for a simple linear regression analysis. Figure 3: ANOVA table (partially completed). (9) Refer to Problem C. Find the value of 'MSR'- (1) $0.2$ (3) $0.6$ (2) $20.2$ (4) $19.6$ (10) Refer to Problem C. Find the value of the $F$ test statistic. Page 3 of 4 (1) $32.7$ (3) $45.9$ (2) $0.97$ (4) 98 (11) Refer to Problem C. Find the equation of the lesst-squares regression line. (1) $y=?3.1?1.4x$ (3) $y^?=3.1?1.4x$ (2) $y^?=3.1+1.4x$ (4) $y??=3.1+1.4x$ .... (12) Refer to Problem C. Find (approximate) the value of the 'ooefficient of determination'. (1) $0.97$ (3) $0.99$ (2) $0.65$ (4) $0.87$ (13) Refer to Problem $C$. There is sufficient evidence to suggest a significant linear regression. Test using $?=0.05$ (1) True (2) False ... (14) Refer to Problem C. Find the best estimate of $?_{2}$, the variance of the random error $e$. (1) $0.45$ (3) $0.6$ (2) $0.2$ (4) $0.24$ (Section 12.4) Diagnostic Tools for Checking the Regression Assumptions (15) What dingnostic plot can you use to determine whether the data satisfy the normality assumption? (1) A normal probability plot of the residuals. (2) A plot of residuals versus fits.

9. (4) 19.6 MSR = SSRdf = 19.61= 19.610. (4) 98F statistic = MSRMSE= 19.60.2= 9811. (3) Since b0