This table shows the rainfall (in centimeters) for a city in different months. the quadratic regression equation that models these data is y= 0.77x^2 + 6.06x - 5.9. using this model, the predicted rainfall for month 10 is about -22.3 centimeters. does this prediction make sense? why or why not?

No, this prediction does not make any sense because rainfall can not be negative.

Step-by-step explanation:

The given quadratic regression equation that shows the rainfall (in centimeters) for a city in different months is

At x=10

It means the rainfall for month 10 is about -22.3 centimeters. It is a negative value and we know that the rainfall can not be negative.

Therefore this prediction does not make any sense because rainfall can not be negative.

according to this law, when unemployment goes up by 1%, gdp drops by 2%. in the question, unemployment rate goes from 2% to 5%, meaning unemployment goes up by 3%, so the gdp drops by 6%. thus the effect is a drop in gdp by 6%.

step-by-step explanation: