You work for a company in the marketing department. manager nas with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion,'so you decide to run a regression the company's sales history. If 10 months are sampled and the regression output is given below, what can we conclude about the slope of time? Predictor Coef Stdev t-ratio Constant 485.023 34.5274 14.05 <0.0001 20.765 7.5455 2.75 0.025 time S - 56.651 R-sq = 48.63% R-sq (adj) = 42.21% Analysis of Variance SOURCE DF SS MS F. Regression 24306.4 24306.4 7.57 0.025 Error 25674.9 3209.4 Total 49981.4

You work for a company in the marketing department. manager nas with forecasting sales by month for the next year. You notice that over the past 12 months sales have consistently gone up in a linear fashion,'so you decide to run a regression the company's sales history. If 10 months are sampled and the regression output is given below, what can we conclude about the slope of time? Predictor Coef Stdev t-ratio Constant 485.023 34.5274 14.05 <0.0001 20.765 7.5455 2.75 0.025 time S - 56.651 R-sq = 48.63% R-sq (adj) = 42.21% Analysis of Variance SOURCE DF SS MS F. Regression 24306.4 24306.4 7.57 0.025 Error 25674.9 3209.4 Total 49981.4

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

Y
Kindly answer letters a-e
Please no written by hand solutions 3. A researcher is interested in the correlation between a person’s age and the amount of sleep they get. He uses a poll to collect representative data for 2,000 people. The researcher performs a regression, with a dependent variable of minutes per week spent sleeping, and an independent variable of age in years. The regression results are as follows: - (Intercept): 150 - age: -5 Answer the following: - What is the regression line? - What is the predicted number of minutes sleeping for someone who is 20 years old? - The researcher is also interested in the relationship between age, sleep, and politics. Each person who responds to the poll chooses a value for liberal between 0 (very conservative) and 100 (very liberal) to describe their politics. The researcher performs a regression with the same independent variable of minutes per week sleeping, and dependent variables of age and liberal. The regression results are as follows: - (Intercept):…
QUESTION 2 Given that the slope of a regression line is 7.5 with x =9 and y 66 Find the value of x for y = 96 O 7 O 11 O 8 13 Click Save and Submit to save and submit. Click Save All Answers to save all answers. ASUS Viv
Using the regression equation developed in step 2, forecast the monthly food and beverage sales for January through December for the fourth year of operation. Discuss your findings
The table describes weekly usage of an appliance is proportional to its Maintenance expense, is that correct? Use regression model to discuss your answer.
Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 127 mg/dl and standard deviation 10 mg/dl. Let L denote a patient's glucose level.
Two variables are defined, a regression equation is given, and one data point is given. Hgt = height in inches Age = age in years of a child Hgt = 24.5+2.78(Age) The data point is a child 12 years old who is 60 inches tall. X Your answer is incorrect. (a) Find the predicted value for the data point and compute the residual. Enter the exact answers. Predicted value = i Residual = inches inches
Question: Give the equation of the model you chose in (b ) using the transformed variables .
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
Many small companies buy advertising without considering its effect. The marketing manager is trying to make the case that "you have to spend money to make money." Spending on billboard advertise ments, in the manager's opinion, has a direct effect on sales. These are records for 7 months in 1000s: Monthly expenditure on 21 25 billboards 16 42 34 10 19 Monthly sales Develop a regression estimating equation. If the monthly expenditure on billboards is 20,000/- what is the monthly sale generated 34 14 48 32 26 29 20
Two variables are defined, a regression equation is given, and one data point is given. Study = number of hours spent studying for an exam Grade = grade on the exam GRADE= 41.0 + 3.7 (STUDY) THE DATA POINT IS A STUDENT WHO STUDIED 10 HOURS AND RECIEVED AN 81 ON THE EXAM…