3. Given the data in problem 2, if a student received a score of 80 on the midtest, what would be the best prediction for the grade on the lasttest? Please compute a line of best fit and predict what the final grade should be.
Question 2 data :
Midtest 85 90 72 75 82 95 80 83 81 95
Last test 83 91 75 85 65 92 83 86 79 98
using excel>data>data analysisi>regresison
'we have
SUMMARY OUTPUT | ||||||
Regression Statistics | ||||||
Multiple R | 0.675532 | |||||
R Square | 0.456343 | |||||
Adjusted R Square | 0.388386 | |||||
Standard Error | 7.290355 | |||||
Observations | 10 | |||||
ANOVA | ||||||
df | SS | MS | F | Significance F | ||
Regression | 1 | 356.9058 | 356.9058 | 6.71516 | 0.032045 | |
Residual | 8 | 425.1942 | 53.14927 | |||
Total | 9 | 782.1 | ||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 15.16492 | 26.5478 | 0.571231 | 0.58353 | -46.0544 | 76.38425 |
mid | 0.817841 | 0.315603 | 2.591363 | 0.032045 | 0.09006 | 1.545622 |
we have the equation
last = 15.165 +0.818 *mid
for mid = 80
last =15.165 +0.818 *80 = 80.61
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