Question
Write a program in R that fits and interprets a regression model to the smiles.csv data. Your program should do the following (though not necessarily
Write a program in R that fits and interprets a regression model to the smiles.csv data. Your program should do the following (though not necessarily in order):
1. Produce a boxplot of leniency score for the various types of smiles
2. Fit the regression model that treats "neutral" as the reference level of type and perform a test of the equality of the means of the levels of type
3. Estimate the population-level mean leniency score for the levels of type with their standard errors
4. Estimate all differences in population-level mean leniency scores for the levels of type with their standard errors
5. Produce an effects plot of the effect of the levels of type on leniency score
type | leniency |
felt | 7 |
felt | 3 |
felt | 6 |
felt | 4.5 |
felt | 3.5 |
felt | 4 |
felt | 3 |
felt | 3 |
felt | 3.5 |
felt | 4.5 |
felt | 7 |
felt | 5 |
felt | 5 |
felt | 7.5 |
felt | 2.5 |
felt | 5 |
felt | 5.5 |
felt | 5.5 |
felt | 5 |
felt | 4 |
felt | 5 |
felt | 6.5 |
felt | 6.5 |
felt | 7 |
felt | 3.5 |
felt | 5 |
felt | 3.5 |
felt | 9 |
felt | 2.5 |
felt | 8.5 |
felt | 3.5 |
felt | 4.5 |
felt | 3.5 |
felt | 4.5 |
FALSE | 2.5 |
FALSE | 5.5 |
FALSE | 6.5 |
FALSE | 3.5 |
FALSE | 3 |
FALSE | 3.5 |
FALSE | 6 |
FALSE | 5 |
FALSE | 4 |
FALSE | 4.5 |
FALSE | 5 |
FALSE | 5.5 |
FALSE | 3.5 |
FALSE | 6 |
FALSE | 6.5 |
FALSE | 3 |
FALSE | 8 |
FALSE | 6.5 |
FALSE | 8 |
FALSE | 6 |
FALSE | 6 |
FALSE | 3 |
FALSE | 7 |
FALSE | 8 |
FALSE | 4 |
FALSE | 3 |
FALSE | 2.5 |
FALSE | 8 |
FALSE | 4.5 |
FALSE | 5.5 |
FALSE | 7.5 |
FALSE | 6 |
FALSE | 9 |
FALSE | 6.5 |
miserable | 5.5 |
miserable | 4 |
miserable | 4 |
miserable | 5 |
miserable | 6 |
miserable | 3.5 |
miserable | 3.5 |
miserable | 3.5 |
miserable | 4 |
miserable | 5.5 |
miserable | 5.5 |
miserable | 4.5 |
miserable | 2.5 |
miserable | 5.5 |
miserable | 4.5 |
miserable | 3 |
miserable | 3.5 |
miserable | 8 |
miserable | 5 |
miserable | 7.5 |
miserable | 8 |
miserable | 4 |
miserable | 5.5 |
miserable | 6.5 |
miserable | 5 |
miserable | 4 |
miserable | 3 |
miserable | 5 |
miserable | 4 |
miserable | 4 |
miserable | 6 |
miserable | 8 |
miserable | 4.5 |
miserable | 5.5 |
neutral | 2 |
neutral | 4 |
neutral | 4 |
neutral | 3 |
neutral | 6 |
neutral | 4.5 |
neutral | 2 |
neutral | 6 |
neutral | 3 |
neutral | 3 |
neutral | 4.5 |
neutral | 8 |
neutral | 4 |
neutral | 5 |
neutral | 3.5 |
neutral | 4.5 |
neutral | 6.5 |
neutral | 3.5 |
neutral | 4.5 |
neutral | 4.5 |
neutral | 2.5 |
neutral | 2.5 |
neutral | 4.5 |
neutral | 2.5 |
neutral | 6 |
neutral | 6 |
neutral | 2 |
neutral | 4 |
neutral | 5.5 |
neutral | 4 |
neutral | 2.5 |
neutral | 2.5 |
neutral | 3 |
neutral | 6.5 |
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