Correlation and regression are two closely related topics in statistics. For each of the following statements, indicate whether the statement is true of correlation, true of regression, true of both correlation and regression, or true of neither correlation nor regression.
1. Can tell you whether one variable (such as smoking) causes another (such as cancer)
2. Can be influenced by extreme values on one or both variables
3. Can tell you the degree to which a linear relationship exists between two variables

1. It is true of both correlation and regresssion.

2.True of neither correlation or regression.

3.True of correlation only

Step-by-step explanation:

1. This is because correlation test relationships between variables( quantitative or categorical)

While also regression predict the value of one variable(dependent variable ) on the value of another variable (independent).

In other words, both correlation and regression measures how things are related.

2.This isn't true of both correlation and regression because extreme value can only be influenced by one value on another value which is not .

So therefore, it not necessalrily extreme values of both variables are influenced.

3. This is true of correlation only because one of the two variables involved here is quantitative while the other one is categorical. Hence, the degree of one variable (quantitative ) can be used to tell the linear relationship on another variable (categorical)..

But in the case of regression , the two vairables are dependent and independent which has nothing to do with degree of any of the two variables.

78.59 is the mean

step-by-step explanation:

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step-by-step explanation: