Check and show each one.

5. Here are some summary statistics for CO [Mean = 13.663 mg; SD = 4.706 mg] and Tar

[Mean = 13.945; SD = 6.526 mg] and the correlation is r = 0.978.

Find the slope and y intercept

(with the formulas, using the values above) and

write the equation of the linear

model, in context.

6. Interpret the slope and y

-

intercept in context.

7.

Predict/estimate

the Carbon Monoxide emission for a cigarette with

8

mg of tar.

8. Calculate the residual for the point

with 8 mg of tar.

9. C

heck your linear model by inputting the

list of data

into the

calculator

(or using

stapplet.com)

.

Using linear regression, find the equation of the linear model. Does this

match what you got for #5?

What is the LSRL that is computer generated (use more

decimals)?

10. Create the residual plot for this data. Draw it.

Does a linear model seem appropriate?

Explain.