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City planners believe that larger cities are populated by older residents. To investigate the relationship, data on population and median age in 10 large cities were collected.
$$
\begin{array}{|lcc|}
\hline \text { City } & \begin{array}{c}
\text { City Population } \\
\text { (in millions) }
\end{array} & \text { Median Age } \\
\hline \text { Chicago, IL } & 2.833 & 31.5 \\
\text { Dallas, TX } & 1.233 & 30.5 \\
\text { Houston, TX } & 2.144 & 30.9 \\
\text { Los Angeles, CA } & 3.849 & 31.6 \\
\text { New York, NY } & 8.214 & 34.2 \\
\text { Philadelphia, PA } & 1.448 & 34.2 \\
\text { Phoenix, AZ } & 1.513 & 30.7 \\
\text { San Antonio, TX } & 1.297 & 31.7 \\
\text { San Diego, CA } & 1.257 & 32.5 \\
\text { San Jose, CA } & 0.930 & 32.6 \\
\hline
\end{array}
$$
a. Plot these data on a scatter diagram with median age as the dependent variable.
b. Find the correlation coefficient.
c. A regression analysis was performed and the resulting regression equation is Median Age $=31.4+0.272$ Population. Interpret the meaning of the slope.
d. Estimate the median age for a city of 2.5 million people.
e. Here is a portion of the regression software output. What does it tell you?
Predictor $\quad$ Coef $S E$ Coef $\quad T \quad$ P $\begin{array}{lllll}\text { Constant } & 31.3672 & 0.6158 & 50.94 & 0.000\end{array}$
Popul ation $\begin{array}{llll}0.2722 & 0.1901 & 1.43 & 0.190\end{array}$
f. Using the .10 significance level, test the significance of the slope. Interpret the result. Is there a significant relationship between the two variables?

City planners believe that larger cities are populated by older residents. To investigate the relationship, data on population and median age in 10 large cities were collected. $$ \begin{array}{|lcc|} \hline \text { City } & \begin{array}{c} \text { City Population } \\ \text { (in millions) } \end{array} & \text { Median Age } \\ \hline \text { Chicago, IL } & 2.833 & 31.5 \\ \text { Dallas, TX } & 1.233 & 30.5 \\ \text { Houston, TX } & 2.144 & 30.9 \\ \text { Los Angeles, CA } & 3.849 & 31.6 \\ \text { New York, NY } & 8.214 & 34.2 \\ \text { Philadelphia, PA } & 1.448 & 34.2 \\ \text { Phoenix, AZ } & 1.513 & 30.7 \\ \text { San Antonio, TX } & 1.297 & 31.7 \\ \text { San Diego, CA } & 1.257 & 32.5 \\ \text { San Jose, CA } & 0.930 & 32.6 \\ \hline \end{array} $$ a. Plot these data on a scatter diagram with median age as the dependent variable. b. Find the correlation coefficient. c. A regression analysis was performed and the resulting regression equation is Median Age $=31.4+0.272$ Population. Interpret the meaning of the slope. d. Estimate the median age for a city of 2.5 million people. e. Here is a portion of the regression software output. What does it tell you? Predictor $\quad$ Coef $S E$ Coef $\quad T \quad$ P $\begin{array}{lllll}\text { Constant } & 31.3672 & 0.6158 & 50.94 & 0.000\end{array}$ Popul ation $\begin{array}{llll}0.2722 & 0.1901 & 1.43 & 0.190\end{array}$ f. Using the .10 significance level, test the significance of the slope. Interpret the result. Is there a significant relationship between the two variables?

Basic Statistics for Business & Economics

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INSTANT ANSWER

The following table represents the payoff matrix concerning players Solve it optimally using the dominance property and write the probability of the players. 5 -3 3 4 -4 5 4 5 4 -4 -3 3

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