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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 7

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} { l l l l l l } \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 } & \text { t 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.


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Buyers and Sellers

The participants in a market who determine the demand for and supply of goods and services, influencing prices and market dynamics through their transactions.

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Equal-valued metrics that compare different financial instruments, such as conversion parity between options and stocks.

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A trading strategy that attempts to profit from the differences between actual and theoretical futures prices of the same stock index.

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The real prices at which assets, commodities, or securities will be traded in the future, as opposed to predicted or estimated prices.

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