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begin{tabular}{ccc} hline Month & Interest Rate, % & Number of Loans hline 1 & 10 & 25 2 & 6 & 29
\begin{tabular}{ccc} \hline Month & Interest Rate, \% & Number of Loans \\ \hline 1 & 10 & 25 \\ 2 & 6 & 29 \\ 3 & 2 & 37 \\ 4 & 11 & 20 \\ 5 & 9 & 18 \\ 6 & 9 & 23 \\ 7 & 13 & 17 \\ 8 & 7 & 25 \\ 9 & 3 & 32 \\ 10 & 14 & 6 \\ \hline \end{tabular} The following table lists the number of home improvement loans approved by a finance company, along with the loan interest rate. Click the icon to view the data table. a. Develop a regression forecast model using the interest rate (in \%) as the predictor (i.e., independent) variable. The regression model is Number of loans =+11 Interest rate. (Enter your responses rounded to two decimal places and include minus sign if necessary.) b. If the interest rate is 11%, the bank should expect to make loans. (Enter your response rounded to the nearest whole number.) If the interest rate is 4.5%, the bank should expect to make loans. (Enter your response rounded to the nearest whole number.)
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