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At a Recent Music Concert, a Survey Was Conducted That

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At a recent music concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the beginning of the year. The following data were collected.  Age 62574049675443655441 Number of concerts 6543552631\begin{array} { | l | c | c | c | c | c | c | c | c | c | c | } \hline \text { Age } & 62 & 57 & 40 & 49 & 67 & 54 & 43 & 65 & 54 & 41 \\\hline \text { Number of concerts } & 6 & 5 & 4 & 3 & 5 & 5 & 2 & 6 & 3 & 1 \\\hline\end{array}  Age 44485560596369403852 Number of Concerts 3245454213\begin{array} { | l | c | c | c | c | c | c | c | c | c | c | } \hline \text { Age } & 44 & 48 & 55 & 60 & 59 & 63 & 69 & 40 & 38 & 52 \\\hline \text { Number of Concerts } & 3 & 2 & 4 & 5 & 4 & 5 & 4 & 2 & 1 & 3 \\\hline\end{array}  At a recent music concert, a survey was conducted that asked a random sample of 20 people their age and how many concerts they have attended since the beginning of the year. The following data were collected.  \begin{array} { | l | c | c | c | c | c | c | c | c | c | c | }  \hline \text { Age } & 62 & 57 & 40 & 49 & 67 & 54 & 43 & 65 & 54 & 41 \\ \hline \text { Number of concerts } & 6 & 5 & 4 & 3 & 5 & 5 & 2 & 6 & 3 & 1 \\ \hline \end{array}   \begin{array} { | l | c | c | c | c | c | c | c | c | c | c | }  \hline \text { Age } & 44 & 48 & 55 & 60 & 59 & 63 & 69 & 40 & 38 & 52 \\ \hline \text { Number of Concerts } & 3 & 2 & 4 & 5 & 4 & 5 & 4 & 2 & 1 & 3 \\ \hline \end{array}    a. Use the regression equation  \hat { y }  = -3.0115 + 0.1257x to determine the predicted values of y. b. Use the predicted values and the actual values of y to calculate the residuals. c. Plot the residuals against the predicted values  \hat { y }  . d. Does it appear that heteroscedasticity is a problem? Explain. e. Draw a histogram of the residuals. f. Does it appear that the errors are normally distributed? Explain. g. Use the residuals to compute the standardised residuals. h. Identify possible outliers. a. Use the regression equation y^\hat { y } = -3.0115 + 0.1257x to determine the predicted values of y.
b. Use the predicted values and the actual values of y to calculate the residuals.
c. Plot the residuals against the predicted values y^\hat { y } .
d. Does it appear that heteroscedasticity is a problem? Explain.
e. Draw a histogram of the residuals.
f. Does it appear that the errors are normally distributed? Explain.
g. Use the residuals to compute the standardised residuals.
h. Identify possible outliers.


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Expenses associated with the research and development of a company's goods or services, which may include labor, materials, and overhead related to the creation and improvement of products or services.

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