Question

Predict how the data will change after the treatment is given.

Normal Range
Lucy
Before Treatment
Choose Predictions
Decrease Stay the Same
Increase

Answer 1

Using the least-squares regression model, the predicted sales for an electronics retailer on day 60 would be $250,120, and on day 90 would be $324,520.

Step-by-step explanation:

The concept in question involves the use of least-squares regression for making predictions based on historical data.

For exercise 29, using the given model ŷ = 101.32 + 2.48x, to predict the sales on day 60, we substitute x with 60:

ŷ = 101.32 + (2.48 × 60) = 101.32 + 148.8 = 250.12 thousands of dollars. Therefore, the predicted sales would be $250,120.

For exercise 30, to predict the sales on day 90, we again substitute x with 90:

ŷ = 101.32 + (2.48 × 90) = 101.32 + 223.2 = 324.52 thousands of dollars. Therefore, the predicted sales would be $324,520.

Answer 2

The WBC count would increase.

The HIV Proteins would stay the same.

The Deoxyadenosine would decrease.

Step-by-step explanation:

I did it lol but you could also look at the chart and see the intended therapy would bring levels that she exceeded lower back to normal and bring things she needed up to normal, also she didn't have HIV from the start so the proteins for it would stay the same.