- Read the Dataset "class11_LAB_dataFrame_20190930T2158.csv" into a dataframe.
- The target variable is y
- Plot y vs.
- x
- a
- b
- c
Summarize the relationships between
- Please fit a simple linear regression model between y and a
- Make a scatter plot of y and a
- Overlay the regression line
- Comment on the predicted model versus ground truth
- Transform a 4 different ways
- Fit a linear regression
- Overlay the regression line
- Comment on the predicted model versus ground truth
- Plot a histogram of the above 4 model residuals
- Plot a qqplot of the above 4 model residuals
How do the residuals and qq plot compare between your 4 different transforms?
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Please fit a multiple linear regression model between y and (x, a, b, c)
-
Plot a histogram of the above 4 model residuals
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Plot a qqplot of the above 4 model residuals
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Does your MLR satisfy the LINE assumptions?
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If not, what transforms do you recommend be applied to each explanatory variable and why?
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Transform the variable you feel most violates the LINE assumptions.
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Does transforming this variable help? why or why not?