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I am using x to predict y. When I know the value of x, the mean-squared-error of my
estimate of y is less than when I don't know x. - answer-x explains some of the
variance in y
If the SSmodel is greater than the SSresidual... - answer-the model accounts for
more than 50% of the total variance
What is the coefficient of determination? - answer-The proportion of variance
accounted for in the dependent variable by the predictor variables.
What is the relationship between r and beta in a simple regression? - answer-beta is
an unstandardised measure of r
What is the critical value for t with 5 degrees of freedom and an alpha of 0.05 two-
tailed? Give your answer to 2 decimal places. - answer-2.57
You have the following data:
x = c(10,3,2,1,3,4,5,6)
y = c(2,14,18,12,10,11,8,9)
You run a linear model and get the following estimate of the slope:
^B1 = -1.423
What is the standardised beta? Report to 2 decimal place - answer--0.86
If I have a lot of error in my regression model, it means that: - answer-There are big
differences between the line specified by my model and the corresponding points on
the scatterplot.
If the beta for your x term in a regression model is negative, it means: - answer-That
there as x increases, y decreases.
I conduct a study to investigate whether average hours of sleep per nigh (x) predicts
sick days per year (y). I find the follow values for the intercept and slope:
B0 = 25
B1 = -1.6
True or false, the following is the correct interpretation of the intercept:
CONT +
CWP test
CWPwith
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20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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CWPwithtest
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withanswers
CWP
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test
answers
20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
with correct
20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
answers 20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
CWP test
with 100%
correct
answers
2025
CONT +
CWP test
CWPwith
testcorrect
with CWP
correct
answers
test
answers
2025CWP
with correct
20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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, Page 2CWP test
CWPwithtest
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withanswers
CWP
correct
test
answers
20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
with correct
20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
answers 20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
I am using x to predict y. When I know the value of x, the mean-squared-error of my
estimate of y is less than when I don't know x. - answer-x explains some of the
variance in y
If the SSmodel is greater than the SSresidual... - answer-the model accounts for
more than 50% of the total variance
What is the coefficient of determination? - answer-The proportion of variance
accounted for in the dependent variable by the predictor variables.
What is the relationship between r and beta in a simple regression? - answer-beta is
an unstandardised measure of r
What is the critical value for t with 5 degrees of freedom and an alpha of 0.05 two-
tailed? Give your answer to 2 decimal places. - answer-2.57
You have the following data:
x = c(10,3,2,1,3,4,5,6)
y = c(2,14,18,12,10,11,8,9)
You run a linear model and get the following estimate of the slope:
^B1 = -1.423
What is the standardised beta? Report to 2 decimal place - answer--0.86
If I have a lot of error in my regression model, it means that: - answer-There are big
differences between the line specified by my model and the corresponding points on
the scatterplot.
If the beta for your x term in a regression model is negative, it means: - answer-That
there as x increases, y decreases.
I conduct a study to investigate whether average hours of sleep per nigh (x) predicts
sick days per year (y). I find the follow values for the intercept and slope:
B0 = 25
B1 = -1.6
True or false, the following is the correct interpretation of the intercept:
CONT +
CWP test
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testcorrect
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correct
answers
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answers
2025CWP
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20252026/2027!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
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