HW 1 - part 2.pdf - HW 1 6)46 PM HW 1...

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7/3/19, 6)46 PM HW 1 Page 1 of 4 HW 1 setwd("~/Documents/College/Summer Quarter A-term/Econ 404") df = read.csv("ps1.csv") Question 2 - a df$y = log(df$Y) df$k = log(df$K) df$l = log(df$L) df$phi = log(df$PHI) summary(df) ## Y K L PHI ## Min. : 31.6 Min. : 5.014 Min. : 7.00 Min. :1.001 ## 1st Qu.: 104.9 1st Qu.: 7.575 1st Qu.:28.00 1st Qu.:1.344 ## Median : 156.1 Median :10.133 Median :30.00 Median :1.685 ## Mean : 190.0 Mean :10.125 Mean :29.03 Mean :1.748 ## 3rd Qu.: 241.3 3rd Qu.:12.650 3rd Qu.:31.00 3rd Qu.:2.131 ## Max. :1433.1 Max. :14.972 Max. :35.00 Max. :2.713 ## w y k l ## Min. :10.00 Min. :3.453 Min. :1.612 Min. :1.946 ## 1st Qu.:10.20 1st Qu.:4.653 1st Qu.:2.025 1st Qu.:3.332 ## Median :10.97 Median :5.051 Median :2.316 Median :3.401 ## Mean :12.06 Mean :5.067 Mean :2.271 Mean :3.360 ## 3rd Qu.:12.68 3rd Qu.:5.486 3rd Qu.:2.538 3rd Qu.:3.434 ## Max. :35.57 Max. :7.268 Max. :2.706 Max. :3.555 ## phi ## Min. :0.0006878 ## 1st Qu.:0.2953200 ## Median :0.5215299 ## Mean :0.5200084 ## 3rd Qu.:0.7567298 ## Max. :0.9979599 Question 2 - b reg = lm(y~k+l+phi,data=df) summary(reg)
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7/3/19, 6)46 PM HW 1 Page 2 of 4 ## ## Call: ## lm(formula = y ~ k + l + phi, data = df) ## ## Residuals: ## Min 1Q Median 3Q Max ## -1.49782 -0.33644 -0.00446 0.35757 1.79309 ## ## Coefficients: ## Estimate Std. Error t value Pr(>|t|) ## (Intercept) 1.42197
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  • Spring '08
  • Staff
  • Normal Distribution, Errors and residuals in statistics, setwd, 2.713 l, 10.00 Min

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