Answer:
12.3-7.9x
Step-by-step explanation:
8.9+3.4=12.3
-1.4x+(-6.5x)=-7.9x
Answer:
y=4/5x+1
Step-by-step explanation:
y=mx+b
- m is the slope
- b is the y-intercept
m= 4/5
b= 1 (0,1) y-value
Equation:
y=4/5x+1
$0.29 * 3 = $0.87
$0.98 * 2 = $1.96
$1.39 * 1 = $1.39
0.87 + 1.96 = 2.83
2.83 + 1.39 = 4.22
10.00 - 4.22 = $5.78
she will get $5.78 back!
Answer:
Variable (or coefficients)
Step-by-step explanation:
Answer:
False
Step-by-step explanation:
Given that two linear regression models have the same number of explanatory variables
First model has coefficient of determination as 0.45 while other
0.65
we know that R^2 is the proportion showing the variation of dependent because of variation in independent variables.
Hence a higher R square is always better because it ensures more linearity and hence more accuracy in the regression equation.
Hence 0.65 model is better than 0.45 model.
The given statement is false.
