$267.20
Divide $334 by 40 for hourly rate then multiply by 32
earnings = 
× 32 = $267.20
Which characteristic of a data set makes a linear regression model unreasonable?
Answer: A correlation coefficient close to zero makes a linear regression model unreasonable.
If the correlation between the two variable is close to zero, we can not expect one variable explaining the variation in other variable. For a linear regression model to be reasonable, the most important check is to see whether the two variables are correlated. If there is correlation between the two variable, we can think of regression analysis and if there is no correlation between the two variable, it does not make sense to apply regression analysis.
Therefore, if the correlation coefficient is close to zero, the linear regression model would be unreasonable.
Hey there! :D
Slope intercept form: y=mx+b
4x-2y=9
Add 2y to the other side.
4x=9+2y
Subtract 9 on both sides.
4x-9=2y
Flip the equation over.
2y=4x-9 <== slope intercept form
I hope this helps!
~kaikers
Answer:
99
Step-by-step explanation:
plzmark brainliest
The equation is y=x+2
Use the formula y=Mx+b
