Consider the dataset "Default" in the package ISLR2. We are interested in predicting the variable "balance" given the variable "income" and the variable "student". If the customer's income is equal to 11196.7648 and the customer is a student, what would you predict "balance" to be equal to?

A large school district is reevaluating its teachers' salaries. They have decided to use regression analysis to predict mean teacher salaries at each elementary school. The research has come up with the following prediction equation: Y = $18012.24 + 1432.37X1 - 4.07 X2 where X1 = Yrs Exp and X2 = Yrs Exp2 (a) If a teacher has 7 years of experience, what is the expected salary? (b) If teacher has 10 years of experience, what is the expected salary?

Calculate SSE from the following data. Q 8 10 12 Q* 9 11 19 Enter as a value (round to two decimal places if necessary).

Please no written by hand solution

Question 3 The number of tons of brake assemblies received at an auto parts distribution center last month was 625. The forecast tonnage was 650 for last month. The company uses a simple exponential smoothing model with a smoothing constant of 0.46 to develop its forecasts. What will be the company's forecast for the next month? Add your answer

In the graph below, the which variable is NOT held constant? [Select] The red, dashed line is the [Select] 8 14 22 Line A X Note:- Do not provide handwritten solution. Maintain accuracy and quality in your answer.  Take care of plagiarism. Answer completely. You will get up vote for sure.

A materials engineer wants to understand the relationship between the strength of plastic cases and the temperature at which the strength measurements were made. The engineer collects several samples from the manufacturer and records the following observations. Using the data below and what you have learned in Forecasting, determine the following (use four decimal places for values): 1) Which is the response variable? 2) What would be the value of the coefficient of determination between the two variables? 3) What would be the strength of the plastic if the temperature was 210? Sample Temperature Strength 1 185 5150 183 5125 187 5123 188 5140 189 5195 189 5190 192 5150 195 5155 196 5156 198 5162 193 5172 196 5196 200 5063 202 5025 HENDAWNA 10 11 13 14

Create log(u^2 ) by first squaring the OLS residuals and then taking the natural log.

Calculate the value of APC when the value of APS is given as 0.55

A researcher has a sample of 6 annual observations {94, 104, 102, 99, 111 and 107} for the CPI in country Z for the period 2015 to 2020, and wants to forecast CPI for the years 2021, 2022 and 2023. The researcher uses 3 different forecasting models: A, B and C. Model A is an AR(1) model with no drift and with an estimated autoregressive coefficient = 0.7. Model B is a MA(1) model with no constant and with an estimated MA coefficient = -0.4 (note the minus !). Model C is a random walk model with no drift. The error terms over the 2015-2020 period were estimated to have the values: {3, -1, 2, 4, -3, 1}.  a. Compute the 2021, 2022 and 2023 forecasted values for the consumer price index based on the three models. Show the formulas and the details of your calculations, and explain all the related symbols.  b. Suppose that the actual values of the CPI over the 2021, 2022 and 2023 were {108, 114, 105}. Calculate the Root mean square error of the three model forecasts over the 2021-2023…