Which of the following is correct?

ZPRESID and ZPRED scores are NOT homoscedastic

The variance explained by the regression model

Which of these options is correct (multi-select)

When the predictor goes up, the outcome increases in line with the gradient, For every unit X goes up, Y increases in line with the gradient, When the outcome goes up, the predictor decreases in line with the gradient, For every unit Y goes up, X decreases in line with the gradient

Which of the following is a correct assumption for ANOVA F test

For each value of the predictors, variance of error term should be constant

The residual variance is...

SS total - SS reg, Gap between actual&predicted scores, NOT accounted by the regression model

What does a high R square and low F ratio tells us?

The model explains a large proportion of variance, in a NOT significant way

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Simple Linear Regression

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Questions 8

Answers

1
Which of the following is correct?
The residuals are normally distributed
ZPRESID and ZPRED scores are homoscedastic
ZPRESID and ZPRED scores are NOT homoscedastic
The relationship of the model is linear
2
How much will the health psychologist earn, if they received 4000 a month?
10,542,789
12,786,542
10,542,786
5,542,786
3
SS reg is....
SS residual - SS total
The variance explained by the regression model
A standardized measure of the variation explained by the regression model
SS total + SS residual
4
Which of these options is correct (multi-select)
When the predictor goes up, the outcome increases in line with the gradient
For every unit X goes up, Y increases in line with the gradient
When the outcome goes up, the predictor decreases in line with the gradient
For every unit Y goes up, X decreases in line with the gradient
5
Which of the following is a correct assumption for ANOVA F test
Predictors must have a zero variance
Outcome can be continous or discrete, Predictor must be continous
For each value of the predictors, variance of error term should be constant
A Shapiro-Wilk test for the residuals must be significant
6
What is the model equation for a straight line (multi-select)
Y=MX+C
Y=B0+ B1(X)
Y=B1+BO(X)
Y=MC+X
7
The residual variance is...
[Y1-Y2] , Y1 being actual scores and Y2 being predicted scores
Gap between actual&predicted scores, accounted for by the regression model
SS total - SS reg
Gap between actual&predicted scores, NOT accounted by the regression model
8
What does a high R square and low F ratio tells us?
The model explains a large proportion of variance, in a NOT significant way
The model significantly explains a large proportion of variance in scores
The model significantly explains a small proportion of variance in scores
The model explains a small proportion of variance in a NOT significant

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