0
$\begingroup$

I have no idea what to do with this information or how it helps me determine if education level influences tolerance towards minorities. Control Variables are age, gender, province, and if they provided an email.

> ControlReg <- lm(MinTol.raw ~ Education.n + Gender + Age.n + Province + Email, data=CES)
> summary(ControlReg)

Call:
lm(formula = MinTol.raw ~ Education.n + Gender + Age.n + Province + 
    Email, data = CES)

Residuals:
    Min      1Q  Median      3Q     Max 
-317.02  -46.49    7.60   54.59  187.28 


Coefficients:
                   Estimate Std. Error t value Pr(>|t|)    
(Intercept)      -1.487e+03  1.851e+02  -8.033 1.38e-15 ***
Education.n       6.866e+00  7.206e-01   9.527  < 2e-16 ***
GenderMale       -2.147e+01  2.853e+00  -7.526 7.01e-14 ***
Age.n             8.825e-01  9.466e-02   9.322  < 2e-16 ***
Provincebc        4.017e+01  7.206e+00   5.574 2.72e-08 ***
ProvinceManitoba  5.381e+00  8.465e+00   0.636  0.52506    
Provincenb        1.322e+01  9.772e+00   1.353  0.17612    
ProvinceNfld      2.410e+01  9.506e+00   2.535  0.01130 *  
Provincens        4.933e+01  9.236e+00   5.341 9.96e-08 ***
ProvinceOntario   1.857e+01  6.405e+00   2.899  0.00378 ** 
Provincepei       4.153e+01  9.278e+00   4.476 7.90e-06 ***
ProvinceQuebec   -1.633e+01  6.495e+00  -2.515  0.01196 *  
ProvinceSask      1.591e+01  8.580e+00   1.854  0.06384 .  
Emailno email    -7.500e+00  4.759e+00  -1.576  0.11514    
Emailyes          9.973e+00  3.831e+00   2.603  0.00929 ** 
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 75.34 on 2817 degrees of freedom
  (1476 observations deleted due to missingness)
Multiple R-squared:  0.1681,    Adjusted R-squared:  0.1639 
F-statistic: 40.65 on 14 and 2817 DF,  p-value: < 2.2e-16
$\endgroup$

closed as off-topic by whuber Aug 12 at 18:41

This question appears to be off-topic. The users who voted to close gave this specific reason:

  • "Self-study questions (including textbook exercises, old exam papers, and homework) that seek to understand the concepts are welcome, but those that demand a solution need to indicate clearly at what step help or advice are needed. For help writing a good self-study question, please visit the meta pages." – whuber
If this question can be reworded to fit the rules in the help center, please edit the question.

  • $\begingroup$ If you have "no idea" what that information tells you, then, I'm sorry but you need to take a course on regression or read a couple of good books on the topic. It's possible for someone here to tell you what these numbers mean, but you have to look at a lot of other stuff to make sure the regression is properly done. $\endgroup$ – Peter Flom Aug 13 at 11:20