Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.
The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).
We are given:
R = 0.75
So,
R² = 0.75²
R² = 0.5625
R² = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
Answer:
x= -10
Step-by-step explanation:
................
Answer: C. 13 + 8x = 45
Step-by-step explanation:
She already has 13 dollars. This would be the b-value in the equation, thus eliminating options A and B because those two feature 13 as the m value.
She earns $8 per hour. Let x = number of hours walking dogs.
Since 8 is the slope, it would be attached to x, thus either C or D would be the correct response
Since Grace is adding 8 dollars per hour, not subtracting, D is incorrect, leaving C to be the correct answer.
Answer:
Is it 1,512?
Step-by-step explanation:
to go from point to point
we go up six units and to the right 1 unit
slope = 6/1
m = 6
