Instruction 13.23
The Head of the Accounting Department wanted to see if she could predict the average grade of students using the number of course units (credits) and total university entrance exam scores of each. She takes a sample of students and generates the following Microsoft Excel output:
OUTPUT
SUMMARY
$\begin{array} { l l } \text { Regression Statistics } & \\ \text { MultipleR } & 0.916 \\ \text { R Square } & 0.839 \\ \text { Adj. R Square } & 0.732 \\ \text { Std. Error } & 0.24685 \\ \text { Observations } & 6 \end{array}$

ANOVA
$\begin{array} { l l l l l l } & d f & \text { SS } & \text { MS } & F & \text { Signiff } \\ \text { Regression } & 2 & 0.95219 & 0.47610 & 7.813 & 0.0646 \\ \text { Residual } & 3 & 0.18281 & 0.06094 & & \\ \text { Total } & 5 & 1.13500 & & & \\ & & & & & \\ & \text { Coeff } & \text { StdError } & t \text { Stat } & p \text { value } & \\ \text { Intercept } & 4.593897 & 1.13374542 & 4.052 & 0.0271 & \\ \text { GDP } & - 0.247270 & 0.06268485 & - 3.945 & 0.0290 & \\ \text { Price } & 0.001443 & 0.00101241 & 1.425 & 0.2494 & \end{array}$ Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error
-Referring to Instruction 13.23,the Head of Department decided to construct a 95% confidence interval for ?₁.The confidence interval is from _____ to _____.

Question

Instruction 13.23
The Head of the Accounting Department wanted to see if she could predict the average grade of students using the number of course units (credits) and total university entrance exam scores of each. She takes a sample of students and generates the following Microsoft Excel output:
OUTPUT
SUMMARY

\begin{array} { l l } \text { Regression Statistics } & \\ \text { MultipleR } & 0.916 \\ \text { R Square } & 0.839 \\ \text { Adj. R Square } & 0.732 \\ \text { Std. Error } & 0.24685 \\ \text { Observations } & 6 \end{array}

ANOVA

\begin{array} { l l l l l l } & d f & \text { SS } & \text { MS } & F & \text { Signiff } \\ \text { Regression } & 2 & 0.95219 & 0.47610 & 7.813 & 0.0646 \\ \text { Residual } & 3 & 0.18281 & 0.06094 & & \\ \text { Total } & 5 & 1.13500 & & & \\ & & & & & \\ & \text { Coeff } & \text { StdError } & t \text { Stat } & p \text { value } & \\ \text { Intercept } & 4.593897 & 1.13374542 & 4.052 & 0.0271 & \\ \text { GDP } & - 0.247270 & 0.06268485 & - 3.945 & 0.0290 & \\ \text { Price } & 0.001443 & 0.00101241 & 1.425 & 0.2494 & \end{array}

Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error
-Referring to Instruction 13.23,the Head of Department decided to construct a 95% confidence interval for ?₁.The confidence interval is from _____ to _____.

Quizplus · Accepted Answer

The Answer of Instruction 13.23 The Head of the Accounting Department wanted to see if she could predict the average grade of students using the number of course units (credits) and total university entrance exam scores of each. She takes a sample of students and generates the following Microsoft Excel output: OUTPUT SUMMARY $\begin{array} { l l } \text { Regression Statistics } & \ \text { MultipleR } & 0.916 \ \text { R Square } & 0.839 \ \text { Adj. R Square } & 0.732 \ \text { Std. Error } & 0.24685 \ \text { Observations } & 6 \end{array}$ ANOVA $\begin{array} { l l l l l l } & d f & \text { SS } & \text { MS } & F & \text { Signiff } \ \text { Regression } & 2 & 0.95219 & 0.47610 & 7.813 & 0.0646 \ \text { Residual } & 3 & 0.18281 & 0.06094 & & \ \text { Total } & 5 & 1.13500 & & & \ & & & & & \ & \text { Coeff } & \text { StdError } & t \text { Stat } & p \text { value } & \ \text { Intercept } & 4.593897 & 1.13374542 & 4.052 & 0.0271 & \ \text { GDP } & - 0.247270 & 0.06268485 & - 3.945 & 0.0290 & \ \text { Price } & 0.001443 & 0.00101241 & 1.425 & 0.2494 & \end{array}$ Note: Adj. R Square = Adjusted R Square; Std. Error = Standard Error -Referring to Instruction 13.23,the Head of Department decided to construct a 95% confidence interval for ?₁.The confidence interval is from _____ to _____.

Instruction 13 ANOVA Note: Adj R Square = Adjusted R Square; Std