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a Statistics Professor Investigated Some of the Factors That y=β0+β1x1+β2x2+β3x3+ϵy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \epsilon

question 91

Short Answer

Professor
A statistics professor investigated some of the factors that affect an individual student's final grade in his course.He proposed the multiple regression model y=β0+β1x1+β2x2+β3x3+ϵy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \epsilon where:
y = final mark (out of 100)
x1 = number of lectures skipped
x2 = number of late assignments
x3 = mid-term test mark (out of 100)
The professor recorded the data for 50 randomly selected students.The computer output is shown below. The regression equation is:
y^=41.63.18x11.17x2+.63x3\hat { y } = 41.6 - 3.18 x _ { 1 } - 1.17 x _ { 2 } + .63 x _ { 3 }
 Predictor  Coef  StDev T Constant 41.617.82.337x13.181.661.916x21.171.131.035x30.630.134.846\begin{array}{l|lll|}\hline \text { Predictor } & \text { Coef } & \text { StDev } & T \\\hline \text { Constant } & 41.6 & 17.8 & 2.337 \\x_{1} & -3.18 & 1.66 & -1.916 \\x_{2} & -1.17 & 1.13 & -1.035 \\x_{3} & 0.63 & 0.13 & 4.846 \\\hline\end{array}
S=13.74S = 13.74
RSq=30.0%\mathrm { R } - \mathrm { Sq } = 30.0 \%
Analysis of Variance
 Source of Variation  df  SS MSF Regression 337161238.6676.558 Error 468688188.870 Total 4912404\begin{array}{l|llll}\hline \text { Source of Variation } & \text { df } & \text { SS } & M S & F \\\hline \text { Regression } & 3 & 3716 & 1238.667 & 6.558 \\\text { Error } & 46 & 8688 & 188.870 & \\\hline \text { Total } & 49 & 12404 & & \\\hline\end{array}
-Do these data provide enough evidence at the 5% significance level to conclude that the final mark and the number of late assignments are negatively linearly related?
Test statistic = ____________________
Critical Value = ____________________
Conclusion: ____________________

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Definitions:

Medication

Drugs or other substances used to treat, prevent, or diagnose illness and improve health.

Financial Assistance

Monetary support provided to individuals or organizations, often aimed at alleviating poverty or facilitating access to services.

User Cost

The expense of utilizing a good or service, including opportunity costs and depreciation.

Slippery Slope

A logical fallacy that argues a relatively small first step leads to a chain of related events culminating in some significant effect, often used as a form of argument to caution against a course of action.

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