Questions:

1.a What is the b1 coefficient for the y3 data?

1.b What is the average, b1, of your coefficients?

1c What is the standard deviation of those coefficients?

1d What did you determine the calculated value of (segma b1) to be?

2.a What is the b1 coefficient for the y3 data?

2.b What is the average, b1, of your b1 coefficients?

2c. What is the standard deviations of those coefficients?

2d. What did you determine the calculated value of (segma b1) to be?

AD: What is the AD p-value for the coefficients in the Regression 1 worksheet?

3a.1 What is the coefficient when using all 60 data points?

3a.2 What are your thoughts on the Fitted Line Plot? Choose 1:

A) Things look good.
B) Things look off, especially at the larger Days.

3.c What are your thoughts on the residual plot?

A) Residual Plots have no value and are part of the Fake News. Choose 1:
B) The residuals look pretty random here.
C) The residuals are definitely not random.

3b.1 What is the coefficient when using all 30 data points?

3b.2 What are your thoughts on the Fitted Line Plot and the residual plot? Choose 1:

a) Things look good.
b) Things look pretty bad.

3c.1 What is coefficient when using just the second 30 Days data points?

3c.2 What are your thoughts on the Fitted Line Plot and the residual plot? Choose 1:

a)Things look good.
b)Things look pretty bad.

4a.1 what value in Column 2 of Day 60/ (Poorly Fitted)

4a.2 What value is in Column 3 of Day 60? (First 30) (This is what we predict would have happened without our behavior change)

4a.3 What value is in Column 4 of Day 60?(second 30) (this is based on date only since the change)

4a.4 What value is in Column 5 of Day 60? (Poorly-Actual) (This is how far off the poorly fitted model is from reality. With such a big miss, nobody would trust data analysis. Moral of the story is Get it Right!)

4a.5 What value in column ^ of Day 60? (Saved by Change) (This is an estimate of how many cases were saved by making the behavior change.)(Goose Bumps?)

4b1 Do you agree that the data fits the original model (Model 1) poorly? Choose 1:

A) Yes
B) No

4b2 How did our model perform when we split our data up?Choose 1

A) Terrible
B) SWEEEEET

4c1 From Day 1 to Day 15, the number of cases went up by (about) a factor of what?

4c2 From Day 15 to Day 30, the number of cases went up by (about) a factor of what?

4c3 From Day 30 to Day 45, the number of cases went up by (about) a factor of what?

4c4 From Day 45 to Day 60, the number of cases went up by (about) a factor of what?