How do I correctly interpret those coefficients? For example, the variable runpl
ID: 3046065 • Letter: H
Question
How do I correctly interpret those coefficients? For example, the variable runplay, How do I correctly interpret this variable from this table?
Can you be specific?
Average partial effects after logistic variable I Coef. Std. Err [95% Conf. Interval] timeunder.002822 0014708 1.92 0.055 -.0057046 0.81 0.416-.0072638 -0.66 0.510 .0715214 qtr .0051609.0063393 027312 0000606 0175856 0355395 gbhit -.0179909 0.96 0.336-.0002289 1.48 0.138 -.0185058 2127924 1.31 0.191-.0098948 0263498 0.98 0.328 -.0507668 0746773 0680979 0.68 0.496-.0052851 1.72 0.086-.0000772 0001492 completions -.0000574 .0001851-0.3 .757.0004201 yrdline100-.0838191.003248825.80 0.0000901867-.0774515 umble I-.4220243.1188822 -3.55 0.0006550291-.189019!5 0006712 1332948 4861316 0494782 0299609 1521193 0923119 0861299 0109038 0011676 0026798 0003054 carries .0002211.0002296 runleft0573945 .0387253 0697307 passleft .0197917 0151464 passright .0018056 .0143652 tackle .05067620517576 349462 airyards.0834946 .0044987 18.56 0.000 yardsaftercatch.0771139 0046001 16.76 0.000 penalty 0028094 0041299 ydsnetI.0005452 0003176 scoredifference.0014145 .0006456 passshortI -0976979.0326958 -2.99 0.0031617804 0336154 0015511 timeshit 0006339 000468 1.35 0.176-.0002833 yards_per_att -.0216962 .0116158.87 0.062 -.0444628 rec_percentage.07263730734069-0.99 0.322 -.2165121 1.901225 3.088059 -2.85429 targets0001484 .0002134 -0.70 0.487.0005667 -4.203244 712375 5.007367 td pertargets 3.454296 .7923977 td per car5.110779 1.032019 fumbles_per_car1.407027 7384131 0402358 0002699 9.758102 wpa_per car7774293.561633 tds_per drive 1.391536 5596238 2.49 0.0132.488379-2946938 fumbles per rec .547452 3250407-1.68 0.092 wpa_per_rec -1.370551 61059232.24 0.025 -2.56729 0007399 0206868 000021 0051857 517710 0069295 ac tds0107133 .0050886 total_raw_airyards8.80e-06 .00001530.58 0.564.0000387 1.05 0.295-.0015755 0.18 0.B54.428580B caught yac_per_rec .0003994 .0037393 0.1 0.915.0077283 interceptions0018051.0017248 comp perc 0445647 2414052Explanation / Answer
Based on the table , it looks like this is a logistic regression output. We are given that the coefficient of runplay is
0.349462
IN Other words, the odds of sp in the runplay is exp(0.349462) = 1.4183
There is no context in the question , however to interpret each coefficient you must raise the value to exponential and then interpret in terms of odds of the event happening which is nothing but the probability of the event happening
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