Call: lm(formula = log(pop_total_2010) ~ log(pop_total_1860), data = my_data) Residuals: Min 1Q Median 3Q Max -3.3922 -0
Posted: Thu May 05, 2022 6:12 am
- Call Lm Formula Log Pop Total 2010 Log Pop Total 1860 Data My Data Residuals Min 1q Median 3q Max 3 3922 0 1 (81.32 KiB) Viewed 39 times
dataset to the first problem. Now we have 15 states, and each of
these states allowed slavery in 1860. Eleven of these 15 states
joined the Confederacy. In this problem set, you will investigate
how institutions/events 150 years ago—for example, enslavement,
secession, and school construction—affected economic outcomes for
Black and White individuals today (or at least in
2010).
Now suppose we think that population growth occurs in
percentages (rather than levels). Regress the log of 2010
county population (pop_total_2010) on the log of 1860
county population (pop_total_1860)
Please interpret the coefficient 0.26000
(please help!!! also please tell me the rules/steps to follow
when I am asked to interpret a coefficient of a log regression,
thanks so much!)
Call: lm(formula = log(pop_total_2010) ~ log(pop_total_1860), data = my_data) Residuals: Min 1Q Median 3Q Max -3.3922 -0.8141 -0.1682 0.6885 4.5457 Coefficients: Estimate Std. Error t value Pr(>ltl) (Intercept) 8.30956 0.44843 18.530 < 2e-16 *** 1.9e-07 *** log(pop_total_1860) 0.26000 0.04942 5.261 Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 ( > 0.1 1 Residual standard error: 1.159 on 708 degrees of freedom Multiple R-squared: 0.03762, Adjusted R-squared: 0.03626 F-statistic: 27.68 on 1 and 708 DF, p-value: 1.901e-07