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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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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