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Question 1 of 3, Step 4 of 5 1/15 Correct The following data give the number of hours 5 students spent studying and their cor
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\begin{tabular}{rrrrr} \hline X & Y & XY & XX & YY \\ \hline 0 & 76 & 0 & 0 & 5776 \\ 3 & 78 & 234 & 9 & 6084 \\ 4 & 80 & 320 & 16 & 6400 \\ 4 & 90 & 360 & 16 & 8100 \\ 4 & 92 & 368 & 16 & 8464 \\ \hline \end{tabular} \\ \sum X =15.0, \sum Y =416.0\\ \sum XY =1282.0, \sum XX =57.0, \sum YY =34824.0

\\SST = \sum Y^2 - \frac{(\sum Y)^2}{n} \\SST = 34824.0 - \frac{(416.0)^2}{5} \\SST = 34824.0 - \frac{173056.0}{5} \\SST = 34824.0 - 34611.2 \\SST = 212.8 \\SSR = \frac{(\sum XY - \frac{\sum X\sum Y}{n})^2}{\sum X^2 - \frac{(\sum X)^2}{n}} \\SSR = \frac{(1282.0 - \frac{15.0(416.0)}{5})^2}{57.0 - \frac{(15.0)^2}{5}} \\SSR = \frac{(1282.0 - 1248.0)^2}{57.0 - 45.0} \\SSR = \frac{1156.0}{12.0} \\SSR = 96.333 \\SSE = SST - SSR \\SSE = 212.8 - 96.333 \\SSE = 116.47

\\\hat{\sigma}^2 = \frac{SS_E}{n-2} \\\hat{\sigma}^2 = \frac{SS_T - SS_R}{n-2} \\\hat{\sigma}^2 = \frac{212.8-96.33}{5-2} \\\hat{\sigma}^2 = \frac{116.47}{3} \\\hat{\sigma}^2 = 38.822

Confidence Interval (in %) = 95
\\\alpha = 0.05 and\ d.f.\ = n-2 = 3 \\t_{\alpha/2, n-2} = t_{0.025, 3} = 3.1824 \\ \hat{\beta}_1 = \frac{n\sum XY -\sum X*\sum Y}{n\sum X^2 -(\sum X)^2} \\ \hat{\beta}_1 = \frac{5*1282.0 - 15.0*416.0}{5*57.0 - 15.0*15.0} \approx 2.8333 \\S.E.(\hat{\beta}_1) =\ standard\ error\ of\ \hat{\beta}_1 = \sqrt{\frac{\sigma^2}{S_{xx}}} \\Where,\ \sigma^2 = \hat{\sigma}^2 = 38.82 \\And,\ S_{xx} = \sum X^2 -\frac{(\sum X)^2}{n} \\S_{xx} = 57.0 -\frac{(15.0)^2}{5} \\S_{xx} = 12.0 \\So,\ S.E.(\hat{\beta}_1) =\sqrt{\frac{38.822}{12.0}} \\S.E.(\hat{\beta}_1) = 1.7987
Since we know that
\\\hat{\beta}_1 - t_{\alpha/2, n-2}*S.E.(\hat{\beta}_1) < \beta_1 < \hat{\beta}_1 + t_{\alpha/2, n-2}*S.E.(\hat{\beta}_1) \\2.8333- 3.1824*1.7987 < \beta_1 < 2.8333 + 3.1824*1.7987 \\2.8333- 5.7242 < \beta_1 < 2.8333 + 5.7242 \\ -2.8909 < \beta_1 < 8.5575
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