This can happen if you add another independent variable to your regression model that is strongly correlated to some other variable already in the model.
This is called multicollinearity.
If there is a high correlation between your independent variables can lead to problems.
<span>It can lead to increased variance of the coefficient estimates and make the estimates very sensitive to minor changes in the model.</span>
Wait isn’t it 30 or am I reading it wrong?
Answer:
x = 50
Step-by-step explanation:
Since the two angles are supplementary, add them together and set them equal to 180 degrees
2x + 2x - 20 = 180 Combine like terms
4x - 20 = 180
+ 20 + 20 Add 20 to both sides
4x = 200 Divide both sides by 4
x = 50
If this answer is correct, please make me Brainliest!
0.7 as a fraction is 7/10
The panthers won 40 games out of 60, by hypothesis.
Let x be the number of matches they will win out of 110 games, if they keep the same rate. We'll use the rule of three:
40 games ---> 60 games
x games ---> 110 games
x = (110*40) / 60
x = 4400/60
x ≈ 73.33
So the panthers, at this rate, will win 73 games out of 110.
Hope this helps! :)
