Publications by Matthew Lucich
Data 605 HW 12
df_who <- read.csv("who.csv") summary(df_who) ## Country LifeExp InfantSurvival Under5Survival ## Length:190 Min. :40.00 Min. :0.8350 Min. :0.7310 ## Class :character 1st Qu.:61.25 1st Qu.:0.9433 1st Qu.:0.9253 ## Mode :character Median :70.00 Median :0.9785 Median :0.9745 ## ...
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Data 605 Discussion 12
Using R, build a multiple regression model for data that interests you. Include in this model at least one quadratic term, one dichotomous term, and one dichotomous vs. quantitative interaction term. Interpret all coefficients. Conduct residual analysis. Was the linear model appropriate? Why or why not? df_uk <- data.frame(datasets::Seatbelts) ...
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Data 605 HW 11
Using the “cars” dataset in R, build a linear model for stopping distance as a function of speed and replicate the analysis of your textbook chapter 3 summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ...
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Data 605 HW 13
1) Use integration by substitution to solve the integral below. \(\int 4 e^{-7x}dx\) Move constant \(4 \int e^{-7x}dx\) Use u-substitution \(u = -7x\) Solve for dx \(\frac{du}{dx} = -7\) \(dx = -\frac{1}{7}du\) Replace dx \(4 \int -\frac{1}{7} e^{u}du\) Substitute u back in and add constant \(-\frac{4}{7}e^{-7x}+C\) 2) Biologists are treating a ...
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Data 605 HW 15
1) Find the equation of the regression line for the given points. Round any final values to the nearest hundredth, if necessary. independent <- c(5.6, 6.3, 7, 7.7, 8.4) dependent <- c(8.8, 12.4, 14.8, 18.2, 20.8) model <- lm(dependent ~ independent) summary(model) ## ## Call: ## lm(formula = dependent ~ independent) ## ## Residuals: ## 1 ...
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