I ran a gaussian GLM on binary data in R.
I got this outcome. Can i get help with the interpretation
because i didn't know i would get an outcome given the
response variable was binary
I Ran A Gaussian Glm On Binary Data In R I Got This Outcome Can I Get Help With The Interpretation Because I Didn T Kn 1 (135.94 KiB) Viewed 77 times
ASOA ilovepdf_merged (1) organized_organized [Compatibility Mode] - Word Sign in File Home Insert Design Layout References Mailings Review View Help Tell me what you want to do Share १. Calibri Light 13.5 - AAAa. A BIU.abe X, X A. aty . A Normal Body Text List Paragraph No Spacing Paste Find ab ac Replace Select Editing V Clipboard Font Paragraph Styles - Normal regression gim(formula = (REPEAT) - SEX + MSESC + PPED, family = "gaussian", , data = Thai Edu_New) Deviance Residuals: Min 10 Median 30 Max -0.22295 -0.15978 -0.13201 -0.07933 0.94778 Coefficients: Estimate Std. Error t value Pr(t) (Intercept) 0.150009 0.007013 21.389 <20-16 *** 2e SEXboy 0.050967 0.007985 6.383 1.85e-10 *** MSESC -0.028535 0.010948 -2.606 0.00917 ** PPEDyes -0.067545 0.008230 -8.207 2.65e-16 *** - Signif. codes: 0 **** 0.001 "**' 0.01 0.05.'0.1''1 (Dispersion parameter for gaussian family taken to be 0.1197724) Null deviance: 915.52 on 7515 degrees of freedom Residual deviance: 899.73 on 7512 degrees of freedom (1066 observations deleted due to missingness) AIC: 5385.3 Page 53 of 5B EB E 150% 2890 words Accessibility: Investigate Type here to search HE O w A RA 19°C 10:04 AM 11/25/2021 u
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