Develop a multiple regression model with categorical variables that incorporate seasonality for forecasting the temperature in$$ Washington, DC$,$ using the data for the years $1999$ and $2000$ in the accompanying table. Use the model to generate forecasts for the next nine months and compare the forecasts to the actual observations in the data for the year $2001.$ Use a level of significance of alphaequals$0\mathrm{.}05.$

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Part $1$

Develop the best subset model by iteratively eliminating all insignificant$$ variables, using alphaequals$0\mathrm{.}05$ for the level of$$ significance, where Year is $1$ for$1999,2$ for$2000,$ and so on$.$ Select the correct choice and fill in the answer boxes to complete your choice.

$($Round to two decimal places as$$ needed.$)$

A$.$

Tempequals

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enter your response here$)$Yearplus$($

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enter your response here$)$Janplus$($

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enter your response here$)$Marplus$($

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B$.$

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enter your response here$)$Oct

C$.$

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enter your response here$)$Octplus$($

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enter your response here$)$Nov

D$.$

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enter your response here$)$Aug