Question

A student looks their horoscope rating every morning before taking an exam. The student keeps a log of the horoscope ratings and the exam performance. This is the log:

H = [3, 4, 9, 10, 6, 7]

E = [80, 90, 75, 95, 85, 85]

Test if least squares regression produces a significant F statistic:

F = MSRegression

MSResidual = (SSY −SSE)/k SSE/(n−k−1) a)

What conclusion can you arrive at?

Answer 1

& Reapply Retresho Edit Links Text to /Remove Wll Data Consolidate What-it Group Ungroup Subtotal ↓ son | rin ' Filter Advanced | Columns Duplicates validation Analysis- Sort&Filter Data Tools SUMMARY OUTPUT ression Statistios Multiple R R Square Adjusted R Square Standard Error Observations 0.154919 0.024 0.22 7.81025 6 ANOVA Significancef m - df MS 1 6 6 0.098361 0.76948003 Regression Residual Total 4 244 250 61 Lower 95% Upper 95%ower 95.0%pper 95.0% 57.73908172 107.0609 57.73908 107.0609 rdErrtStat P-value coefficientanda Intercept horoscope 82.4 8.882192 9.276989 0.000751 0.4 1.275408 0.313625 0.76948 -3.141101496 3.941101 -3.1411 3.941101

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