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The Printout Below Shows Part of the Least Squares Regression E(y)=β0+β1x1+β2x2E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 }

question 29

Essay

The printout below shows part of the least squares regression analysis for the model E(y)=β0+β1x1+β2x2E ( y ) = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } fit to a set of data. The model attempts to predict a score on the final exam in a statistics course based on the scores on the first two tests in the class.
ANOVA
dfSSMSF Significance F  Regression 21293.125328646.562664121.273667722.35769E05 Residual 17516.674671930.39262776 Total 191809.8\begin{array}{llllll}\hline & d f & S S & M S & F & \text { Significance F } \\\hline \text { Regression } & 2 & 1293.125328 & 646.5626641 & 21.27366772 & 2.35769 \mathrm{E}-05 \\\text { Residual } & 17 & 516.6746719 & 30.39262776 & & \\\text { Total } & 19 & 1809.8 & & & \\\hline\end{array}

 Coefficients  Standard Error t Stat  P-value  Lower 95%  Upper 95%  Intercept 4.40968616316.722671060.2636950850.79518468539.6914873430.87211502 Test 1 0.3974358060.3430125691.1586625140.2626117450.3262584671.121130079 Test 2 0.6388052780.2246233832.8438948340.0112179360.1648907041.112719852\begin{array}{lllllll}\hline & \text { Coefficients } & \text { Standard Error } & t \text { Stat } & \text { P-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & -4.409686163 & 16.72267106 & -0.263695085 & 0.795184685 & -39.69148734 & 30.87211502 \\\text { Test 1 } & 0.397435806 & 0.343012569 & 1.158662514 & 0.262611745 & -0.326258467 & 1.121130079 \\\text { Test 2 } & 0.638805278 & 0.224623383 & 2.843894834 & 0.011217936 & 0.164890704 & 1.112719852 \\\hline\end{array}
Is there evidence of multicollinearity in the printout? Explain.


Definitions:

Prolonged Stimulation

Continuous or extended exposure to a stimulus over a considerable period of time.

Neurotransmitter

Chemical messengers that transmit signals across a chemical synapse, from one neuron (nerve cell) to another 'target' neuron, muscle cell, or gland cell.

Amplitude

Amplitude refers to the magnitude or strength of a fluctuating signal, such as sound, light, or electrical signal, often measured from its baseline to its peak.

Brightness

The perception of how luminous an object appears, measured in lumens or subjective visual assessment.

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