Answer:
And for this case ![r =0.45](https://tex.z-dn.net/?f=%20r%20%3D0.45)
The % of variation is given by the determination coefficient given by
and on this case
, so then the % of variation explained is 20.25%.
The proportion of the variability seen in final grade performance that can be predicted by math ability scores is 20.25%.
Step-by-step explanation:
For this case we asume that we fit a linear model:
![y = mx+b](https://tex.z-dn.net/?f=%20y%20%3D%20mx%2Bb)
Where y represent the final grade and x the math ability scores
Where:
And we can find the intercept using this:
The correlation coeffcient is given by:
And for this case ![r =0.45](https://tex.z-dn.net/?f=%20r%20%3D0.45)
The % of variation is given by the determination coefficient given by
and on this case
, so then the % of variation explained is 20.25%.
The proportion of the variability seen in final grade performance that can be predicted by math ability scores is 20.25%.
Answer:
2 weekend days and 4 weekday days
Step-by-step explanation:
12 x 2 = 24
7 x 4 = 28
28 + 24 = 52
Answer:
a
Step-by-step explanation:
it goes 8 units over and its going up 7
Multiply 7.3cm by 50km to get the answer of 365
Answer:
q = -13.2
Step-by-step explanation:
9.7q = 9.1q - 7.92
Subtract 9.1q from both sides.
0.6q = -7.92
Divide both sides by 0.6
q = -13.2
Double check your work.
9.7(-13.2) = 9.1(-13.2) - 7.92
-128.04 = -120.12 - 7.92
-128.04 = -128.04