these are the results I get using R on my database , can someone help me interpret the results
Call:
lm(formula = brevet2016 ~ diversification2013 + specialisation2013 +
depensesenRD2013 + KH2013, data = base)
Residuals:
Min 1Q Median 3Q Max
-230.29 -51.53 -8.63 27.68 891.67
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) -1.839e+02 6.304e+01 -2.917 0.00448 **
diversification2013 7.174e+01 3.925e+01 1.828 0.07094 .
specialisation2013 3.511e+00 3.341e+00 1.051 0.29612
depensesenRD2013 3.979e-04 2.626e-05 15.153 < 2e-16 ***
KH2013 4.000e+02 1.188e+02 3.367 0.00112 **
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 119.1 on 89 degrees of freedom
Multiple R-squared: 0.7782, Adjusted R-squared: 0.7682
F-statistic: 78.05 on 4 and 89 DF, p-value: < 2.2e-16
More specifically, what does intercept,estimate, 1Q,3Q indicate? – user6465283 42 mins ago