SAF FOR YOU 46 l 36l57'2:07SAF FOR YOUJudy Akwam 2:06 PMto me vA company sells Wielding generators. Thedemand for periods 1 to 9 is 44, 52, 50, 54, 55,55, 60, 56, and 62. Develop a regressionforecasting equation and forecast sales forperiod 15What is forecasting error? Compute thec)MAD and MSE using the following data andcomment on the accuracy of the forecastingPeriodActual Forecast121721522132162162154210214213211219214721621782122166 ReplyG Reply allở ForwardN 3

Problem can be solved using formula of regression. please find step by step solution below:

A company sells Wielding generators. The demand for periods 1 to 9 is 44, 52, 50, 54, 55, 55, 60, 56, and 62. Develop a regression forecasting equation and forecast sales for period 15 c) What is forecasting error? Compute the MAD and MSE using the following data and comment on the accuracy of the forecasting Period Actual Forecast 1 217 215 2 213 216 3 216 215 4 210 214 5 213 211 219 214 7 216 217 8 212 216

A company sells Wielding generators. The demand for periods 1 to 9 is 44, 52, 50, 54, 55, 55, 60, 56, and 62. Develop a regression forecasting equation and forecast sales for period 15 c) What is forecasting error? Compute the MAD and MSE using the following data and comment on the accuracy of the forecasting Period Actual Forecast 1 217 215 2 213 216 3 216 215 4 210 214 5 213 211 219 214 7 216 217 8 212 216

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

(b) The yearly data have been published showing the number of releases for each commercial movie studios and the gross receipts for those studios. Based on the data shown in Table 4, can it be concluded that there is a linear relationship between the number of releases and the gross receipts? Table 4 Number of releases and gross receipts for a sample of the commercial movie studios No. of releases 361 270 306 22 35 10 8 12 21 Gross receipts 3844 | 1962| 1371 1064 334 241 | 188 154 125 (million $)
please help with all parts population Expenditure 29 127 435 214 86 133 1090 208 219 153 503 184 47 130 3524 217 185 141 98 154 952 194 89 103
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee’s age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 2 3 4 5 6 7 8 9 10 Age 30 50 40 55 30 28 60 25 30 45 Sick Days 7 4 3 2 9 10 0 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days=14.310162−0.2369(Age) se=1.682207se=1.682207 Find the 95% confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places.
A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
what is the answer?
Draw the weights and heights scatter diagram of your data by using EXCEL and give your interpretation. Find the equation of the regression line from the following data
Twelve husbands were asked how much housework they completed last week and how many children were in the home. Use the following data to complete the questions in this section. Write out the linear model. Children Husband’s Housework Children Husband’s Housework 2 4 4 6 1 1 1 3 3 0 3 5 5 4 2 3 1 5 2 1 5 7 4 3
The following chart shows the actual sales for the last 12 months for a given company. Assume that sales are best fit by a linear trend and you can use single linear regression to set up a forecasting model. Using the sales data answer below questions (justify your answers): A.What would be the typical linear regression equation for the number of sales? B.Make the sales forecast for period 15 of next year. C. Make the sales forecast for period 17 of next year. D. What is the standard error for the data?
15. Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $115 million. Use a significance level of a = 0.05. Budget ($)in Millions Gross ($) in Millions %3D 39 23 117 70 70 49 122 62 64 122 20 11 149 111 18 104 68 129 116 98 95 60 113 208 40 22 288 48 8. Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y = (Round to one decimal place as needed.) х. The best predicted gross for a movie with a $115 million budget is $ million. (Round to one decimal place as needed.)
Graph the scatterplot and find the equation of the regression line GDP. CO2 emissions (in millions metric tons) 1.7. 552.6 1.2. 462.3 2.5. 475.4 2.8. 374.3 3.6. 748.5 2.2. 400.9 0.8. 253.0 1.5. 318.6 2.4. 496.8 5.9. 1180.6
need help with following
The following table shows the values of the age and the job satisfaction of ice cream shop employees Employee Age Job Satisfaction16 918 920 722 824 426 528 626 524 722 8 d. Sketch a scatterplot of this data by hand (do NOT use/submit any plots created by a program).e. Does there appear to be a linear relationship between the two variables? f. Calculate the slope for this data.