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.
Answer:
x
<
−
4
Step-by-step explanation:
Solve by:
Factoring, substituting for variables, then simplify!
Hope this helps!!
At 10 am, Car A is at 30 miles.
Then at 11 am, Car A is at 60 miles and Car B is at 40 miles
At 12 am, Car A is at 90 miles and Car B is at 80 miles
At 1 pm, Car A and B are tied for 120 miles
The very second after Car B passes Car A
Answer: 1:01 pm Car B Passes Car A
Answer:
65
Step-by-step explanation:
remember a TRIANGLE always have a 180 degrees total angle,
so 45+70=115
180-115=65