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Linear Regression Problems - University of Florida

Linear Regression Problems A simple Linear Regression model is fit, relating plant growth over 1 year (y) to amount of fertilizer provided (x). Twenty five plants are selected, 5 each assigned to each of the fertilizer levels (12, 15, 18, 21, 24). The results of the model fit are given below: Can we conclude that there is an association between fertilizer and plant growth at the significance level? Why (be very specific). Give the estimated mean growth among plants receiving 20 units of fertilizer. The estimated standard error of the estimated mean at 20 units is )1820( Give a 95% CI for the mean at 20 units of fertilizer.

A multiple regression model is fit, relating Gainesville House Prices (Y, in $1000s) to 4 predictors: BEDrooms, BATHrooms, an indicator (dummy) variable for NEW, and SIZE (ft 2 ). A subset of the results are given in the following

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  Multiple, Regression, Multiple regression

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