Question: Develop a model to predict the assessed value (in thousands of dollars), using the size of the houses (in thousands of square feet) and the age of the houses (in years) from the data above.

1. State the multiple regression equation
2. Interpret the meaning of the slopes in this equation
3. Predict the mean assessed value for a house that is 1,750 square feet and is 10 years old.
4. Determine whether there is a significant relationship between assessed value and the two independent variables at the 0.05 significance level (this is the F test)
5. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model.
6. The real estate assessor's office has been publicly quoted as saying that the age of a house has no bearing on its assessed valued. Based on your answers above, do you agree with this statement? Explain.

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