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Instruction 12  Regression statistics \text { Regression statistics }  ANOVA \text { ANOVA }

question 46

Multiple Choice

Instruction 12.33
It is believed that the average numbers of hours spent studying per day (HOURS) during undergraduate education should have a positive linear relationship with the starting salary (SALARY, measured in thousands of dollars per month) after graduation. Given below is the Microsoft Excel output for predicting starting salary (Y) using number of hours spent studying per day (X) for a sample of 51 students. NOTE: Only partial output is shown.
 Regression statistics \text { Regression statistics }
 Multiple R 0.8857 R Square 0.7845 Adjusted R  Square 0.7801 Standard Error 1.3704 Observations 51\begin{array}{|l|l|}\hline \text { Multiple R } & 0.8857 \\\hline \text { R Square } & 0.7845 \\\hline \begin{array}{l}\text { Adjusted R } \\\text { Square }\end{array} & 0.7801 \\\hline \text { Standard Error } & 1.3704 \\\hline \text { Observations } & 51\\\hline\end{array}

 ANOVA \text { ANOVA }
dfSSMSF Significance F Regression 1335.0472335.0473178.3859 Residual 1.8782 Total 50427.0798\begin{array}{|l|l|l|l|l|l|}\hline & d f & S S & M S & F & \begin{array}{l}\text { Significance } \\F\end{array} \\\hline \text { Regression } & 1 & 335.0472 & 335.0473 & 178.3859 & \\\hline \text { Residual } & & & 1.8782 & & \\\hline \text { Total } & 50 & 427.0798 & & & \\\hline\end{array}

 Coefficients  Standard  Error  t Stat  p-value  Lower 95%  Upper 95%  Intercept 1.89400.40184.71342.051E052.70151.0865 Hours 0.97950.073313.35615.944E180.83211.1269\begin{array}{|l|l|l|l|l|l|l|} \hline& \text { Coefficients } & \begin{array}{l}\text { Standard } \\\text { Error }\end{array} & \text { t Stat } & \text { p-value } & \text { Lower 95\% } & \text { Upper 95\% } \\\hline \text { Intercept } & -1.8940 & 0.4018 & -4.7134 & 2.051 \mathrm{E}-05 & -2.7015 & -1.0865 \\\hline \text { Hours } & 0.9795 & 0.0733 & 13.3561 & 5.944 \mathrm{E}-18 & 0.8321 & 1.1269\\\hline\end{array} Note: 2.051E-05 = 2.051 * 10-0.5 and 5.944E-18 = 5.944 * 10-18.
-Referring to Instruction 12.33,the degrees of freedom for the F test on whether HOURS affects SALARY are

Understand how to calculate the price of zero-coupon and coupon bonds based on forward interest rates.
Interpret yield curves and their implications for future interest rates and economic outlook.
Understand the concepts of bond stripping, reconstitution, and their implications for arbitrage opportunities.
Grasp the expectations theory and its implications for the term structure of interest rates.

Definitions:

Kinked-Demand Curve

A theory in economics suggesting that a firm's price will be rigid and unlikely to change because competitors will match price decreases but not price increases.

Oligopolistic Firms

Companies that operate in a market structure characterized by a small number of entities dominating the industry, influencing prices and market conditions.

Prices Frequently

A reference to how often prices change in a market, with some markets experiencing more frequent price adjustments than others.

Credible Threats

Statements or signs that a negative action could realistically be taken, used as a strategy in negotiations or competitive situations.

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