For this case, we observe that the dispersion diagram has a behavior similar to a straight line.
we observe that as the values of x increase, the values of y decrease.
Therefore, the line is of negative slope.
Answer:
Linear
option C
Y = -3x + 4
In y = mx + b form, the y intercept will be in the b position.
y = mx + b
y = -3x + 4......so ur y intercept is 4.....or (0,4)
just so u know....in y = mx + b form, the slope will be in the m position....so ur slope would be -3
Answer-
The exponential model best fits the data set.
Solution-
x = input variable = number of practice throws
y = output variable = number of free throws
Using Excel, Linear, Quadratic and Exponential regression model were generated.
The best fit equation and co-efficient of determination R² are as follows,
Linear Regression
Quadratic Regression
Exponential Regression
The value of co-efficient of determination R² ranges from 0 to 1, the more closer its value to 1 the better the regression model is.
Now,
Therefore, the Exponential Regression model must be followed.
Answer:
The graph should look almost exactly like this. I used a virtual graphing chart to assist, since it is capable of showing more than paper alone.
The answer to your question,
If rounded it would be 12.3, if not 12.5 with a repeated.
-Mabel