Question: You conduct a regression in R using the following code and receive the following output. Which best describes the effect of the elearning training on

1m(formula = postinclusion ~ elearning + preinclusion, data = df) Residuals :

Min 1Q Median 3Q Max -3.2798 -0. 2795 0. 2871 0. 5036

You conduct a regression in R using the following code and receive the following output. Which best describes the effect of the elearning training on post training inclusion scores? > 1m3 summary (1m3) Call : 1m(formula = postinclusion ~ elearning + preinclusion, data = df) Residuals : Min 1Q Median 3Q Max -3.2798 -0. 2795 0. 2871 0. 5036 2.7871 Coefficients : Estimate Std. Error t value Pr(> |t|) (Intercept) 0. 21474 0. 43407 0. 495 0. 621031 elearning1 -0. 39995 0. 11746 -3. 405 0. 000717 * * * preinclusion 0. 93309 0. 05176 18.028

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