Question

1. What is the dependent variable in this analysis?
2. What are the independent variables in this analysis?
3. Draw a diagram representing the model being tested.
4. What are the assumptions which need to be met PRIOR to interpreting the results of the analysis?
5. What do you conclude about the quality of the model?
6. What do you conclude about each of the predictors?
7. Interpret the coefficient for any significant predictors.

## 
## Call:
## lm(formula = Ought_Score ~ Inherence_Bias + Ought_Score + educ + 
##     RavensProgressiveMatrix_sum + conserv + Belief_in_Just_World, 
##     data = data_reg_key_vars)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.51857 -0.63014 -0.01277  0.59971  2.24534 
## 
## Coefficients:
##                               Estimate Std. Error t value Pr(>|t|)   
## (Intercept)                  1.652e-16  8.708e-02   0.000  1.00000   
## Inherence_Bias               3.063e-01  9.366e-02   3.270  0.00142 **
## educ                        -7.198e-02  8.994e-02  -0.800  0.42518   
## RavensProgressiveMatrix_sum -2.231e-02  9.125e-02  -0.245  0.80724   
## conserv                      1.023e-01  8.993e-02   1.137  0.25773   
## Belief_in_Just_World        -8.753e-02  9.462e-02  -0.925  0.35685   
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9619 on 116 degrees of freedom
## Multiple R-squared:  0.113,  Adjusted R-squared:  0.07481 
## F-statistic: 2.957 on 5 and 116 DF,  p-value: 0.01504

Answer 1