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:
130 meters squared
Step-by-step explanation:
14-6=8
8*13/2=52
14*13=182
182-52=130 meters
I Think The answer is d I hope it helps Message Me if I’m wrong and I’ll change My answer and fix it for you
Answer:
A≈422.37
You use the equation A=πr(r+h2+r2) to find the surface area of a cone
Answer:
The statistic for this system of hypothesis is given by:
If the statistic is equal to 1 then that means 
and we don't have enough evidence to conclude that the two population variances and deviations are different.
Step-by-step explanation:
System of hypothesis
We want to test if the variation for a group1 is equal to another one 2, so the system of hypothesis are:
H0: 
H1: 
Calculate the statistic
The statistic for this system of hypothesis is given by:
If the statistic is equal to 1 then that means and we don't have enough evidence to conclude that the two population variances and deviations are different.
