Question

1. In a Regression model, what measurement approximately tells us the amount of variation in our dependent variable that is explained by the model?

Group of answer choices

F Statistic

None of these

R-Square

t Statistic

2. In your own words, briefly describe what a hypothesis test is looking for to determine whether or not a result is significant.

What is a drawback of Exponential Smoothing models?

Group of answer choices

None of these

They always lag real - world trends

They attempt to incorporate all previous data

They are good for relatively stationary data

Answer 1

From the given information,

Question 1.

The correct answer is,

R-square

Question 2.

For hypothesis testing,

When we are using software for testing,

Usually we have p-value,

And if p-value < 0.05 then we can conclude that result is significant.

And

Drawback of Exponential smoothing models is They always lag real-world trends.

Thank you.