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Use the following tables to answer Questions 13-14 A multiple regression was modeled with one dependent variable Y and 4 independent variables X1, X2, X3, and X4. Below are the regression results of the models of Xi with all the other X variables (i = 1, 2, 3, 4):

The null hypothesis to test the significance of quadratic term at the 5 % significance level is:

What is the 3-month Moving Average prediction for milk production in July 2023?

What is the Variance Inflationary Factor (VIF) of X1?

Use the following data to answer Questions 6-8 In order to estimate the relationship between the sales and price of umbrellas we decided to test the following model: Y = β0 + β1X + β2X2 + ε Where, Y = sales (in thousands) and X = price of an umbrella. The data was collected from 30 major stores in Madison downtown and the ANOVA summary follows:  

Which of the following statement about moving averages and exponential smoothing is correct?

Assume the smoothing coefficient W=0.3. What are the exponentially smoothed values for milk production in January and February of 2023? 

Ticket sales are given below. Under the 1st order autoregressive model estimated above, what is the predicted ticket sale in 2021?   Year Sales (in thousands) 2018 2.01 2019 2.55 2020 2.63  

Please choose the case where collinearity is unlikely to occur.

What is the value in the cell at the intersection “Regression” and “df”?