Find the correlation coefficient & interpret it. Find & interpret the slope.

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Find the correlation coefficient & interpret it. Find & interpret the slope.

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Find the correlation coefficient & interpret it. Find & interpret the slope.

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- Find the correlation coefficient & interpret it.
- Find & interpret the slope.
- Find & interpret the y-intercept.
- Give the least squares regression line.

- Find the correlation coefficient & interpret it.
- Find & interpret the slope.
- For every additional mg the heart rate decreases by 38.56 bpm.

- Find & interpret the y-intercept.
- Write LSRL:

Residuals

Section 3.2B

- Variation in the y values can be effectively explained when the residuals are small – close to the line.
- Remember a residual = observed – exp.

Find the predicted value for a dosage of 0.4 mg.

Find the residual for (0.4, 80).

* The sum of the residuals is always zero!

- It is a scatterplot of the residuals vs the explanatory variable.
- They help us to assess how well a regression line fits the data.
- The residual plot should show no obvious pattern
- The residuals should be relatively small.

The equation to explain the relationship between drug dosage and heart rate is shown below.Graph the residual Plot. Is the linear model appropriate?

* The sum of the residuals is always zero!

Good residual plot – show relatively no pattern.

- It represents the approximate size of a “typical” or “average prediction error (residual).
- Formula:

*Page 191 (43, 45, 55, 60, 62)