Refer to Figure 8. You can tell that this is a valid, moderately good regression
ID: 3177380 • Letter: R
Question
Refer to Figure 8. You can tell that this is a valid, moderately good regression model because:
The Significance F is zero
The intercept is negative
All P-values are zero or positive
R Square is 0.67
The Standard Error is greater than Significance F
Both a and b
Both a and c
Both a and d
The Significance F is zero
The intercept is negative
All P-values are zero or positive
R Square is 0.67
The Standard Error is greater than Significance F
Both a and b
Both a and c
Both a and d
Figure 8. A model was desired that would help assess the likelihood of student success in QUAN 2010, based on performance early in the course. The model that was developed (regression output shown below) forecasts the final percent grade in the course, given the scores on Quiz 1 and Exam 1. SUMMARY OUTPUT (Quiz 1 and Exam 1 vs Course Regression Statistics Multiple R 0.82 0.67 R Square Adjusted R Square 0.65 Standard Error 0.08 Observations ANOVA Significance MS SS Regression 0.4733 0.2367 35.5878 0.0000 0.2327 0.0066 Residual 35 0.7061 Total 37 Standard t Stat P-value Lower 95% Coefficients Error -0.2428 Intercept 0.1243 1.9531 0.0588 0.4951 Exam 1 0.0100 0.0015 6.5095 0.0000 0.0069 0.0137 Quiz 1 0.0074 1.8579 0.0716 0.0013.Explanation / Answer
It is moderately good regression model because, R^2 = 0.67
R^2 ( coefficient of determination ) measures the proportion of total variation in y which is explained by x .
67 % of total variation in y explained by the x in the given model.
and F significance is zero.
So Both a and c this option is correct .
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