Jimmy finds that there is a linear relationship between his number of zeros on assignments in math class (x) and his overall grade in math class(y) as a percent. He determines a linear regression and finds the following information: y1~mx1+b

r2 = 0.80915

r = -0.979527

m = -1.9128

b = 99.3321
1. What is the slope of the line:? What does it mean in the context of the problem?
2.What is the y-intercept: ? What does it mean in the context of the problem?
3.If Jimmy has 6 zeros in math class, what should his overall grade be according to your model? Show ALL work and answer in a complete sentence. Round to the nearest whole number.
4.Given the options below, select the correlation coefficient and the statement that best describes what the correlation coefficient means in this scenario.

0.80915

-0.979527

The data is increasing, and the model is a strong fit.

The data is decreasing and the model is a strong fit.

The data is increasing, and the model is a weak fit.

The data is decreasing and the model is a weak fit.