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Linear regression can be explained as

LesleyCher

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Linear regression can be explained as

Linear regression can be explained as

a. the best fitting line through data points on a graph
b. prediction of Y from X.
c. a line formula.
d. All of the above are true.

Question 2

The independent variable(s) in this study is (are) the

a. the retention scores.
b. the age of the subjects.
c. the time of testing.
d. the mode of presentation, audio vs. visual.

Question 3

The single-sample t ratio is used to compare

a. two population means
b. a sample mean with an assumed or known population mean
c. two sample means
d. a single sample's mean with that same sample's standard deviation

Question 4

When the standard deviation of the Y distribution equals zero, then

a. the slope of the regression line of Y on X equals zero
b. the mean of X equals zero
c. the mean of Y equals zero
d. none of these

Question 5

Of the following correlation coefficients, which requires ordinal data?

a. the Pearson r
b. the coefficient of contingency
c. the Spearman rs
d. all of these

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umwut

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LesleyCher Author

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6 years ago

Bravo! This is awesome

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umwut

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6 years ago

Glad my efforts were helpful

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