MBA5008 WEEK 4 QUIZ
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A regression analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x).
| n = 10 |
| Σx = 55 |
| Σy = 55 |
| Σx2 = 385 |
| Σy2 = 385 |
| Σxy = 220 |
Refer to Exhibit 14-1. The point estimate of y when x = 20 is
Exhibit 14-3
Regression analysis was applied between sales data (in $1000s) and advertising data (in $100s), and the following information was obtained.
| ŷ = 12 + 1.8x |
| n = 17 |
| SSR = 225 |
| SSE = 75 |
| Sb1 = 0.2683 |
Refer to Exhibit 14-3. The F statistic computed from the above data is
Exhibit 15-8
The following estimated regression model was developed relating yearly income (y in $1000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female).
ŷ = 30 + 0.7x1 + 3x2
Also provided are SST = 1200 and SSE = 384.
The model _____.
The numerical value of the coefficient of determination _____.
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