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=49 exactly but a i forgot how to get range sry
Step-by-step explanation:
A system of equation is consistent if there is at least one solution. Since this system of equations has a single solution, it is consistent, the answer is true.
true, when you convert to a decimal, you add a zero in the variable
