linear regression: examine data for a set of variables first, then determine if there is a relationship between them.

Then, based on the other, such a relationship can be used to predict one variable.

We want to see if there's a link between a patient's height and their FEV1 value.

Select appropriate independent and dependent variables to create a scatter plot for two variables.

Keep an eye out for any linear relationships. Determine the linear correlation coefficient and explain the direction and strength of the relationship.

For linearity, write null and alternative hypotheses.

What is the r-squared value of the linear equation?

this is the data in text form

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age