Below is a table depicting the relationship between population and expenditure:| 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 |This table is used in demographic and economic studies to analyze how population sizes correlate with expenditure levels. **Exercise 4: Linear Regression Analysis**Run a linear regression (in Excel) with the data in the table shown in #3 above. The independent variable is population, and the dependent variable is expenditure.a) Display the regression chart.b) Comment on the distance of each data point versus the regression line.c) Does the pattern of points take a cigar-like shape?d) Are the points far from the line?e) Is this regression analysis a good predictor of the effect of population on expenditures? Why or why not? Justify your answer.

Given information: The data is given below. x (Population) y (Expenditure) 29 127 435 214…

Answered: a) Display the regression chart. b)…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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answer both please and explain well. Anna company sells coffee products to various customers. In recent years, profits have been declining. The CFO of the company investigated the reasons for the profit decline and performed regression analysis for sales and costs. The CFO determined that sales depend on product price, delivery speed, customer services, and marketing expenses. She also determined that total costs consist of variable costs of $25 per unit and fixed costs of $56,000. Marketing expenses have a coefficient of determination of 75% related sales. Questions 1. Define the coefficient of determination and explain what it means in this scenario. 2. Express the relationship between total costs and variable costs for Anna Company using a regression equation. Explain each element of the equation.
Question Help v The table below shows the average weekly wages (in dollars) for state government employees and federal government employees for 10 years. Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $830. The equation of the regression line is y = 1.694x- 246.436. Wages (state), x Wages (federal), y 756 775 795 815 845 870 903 929 931 950 1,035 1,061 1,103 1,133 1,190 1,235 1,276 1,310 1,329 1,378 Construct and interpret a 99% prediction interval for the average weekly wages of federal government employees when the average weekly wages of state government employees is $830. Select the correct choice below and fill in the answer boxes to complete your choice. (Round to the nearest cent as needed.) O A. There is a 99% chance that the predicted average weekly wages of federal government employees is between $ $and $ given a state average weekly wage of $830. O…
Regression may not be an appropriate tool if a. there are two variables that are measured on an interval or ratio scale. b. multicollinearity is present c. you want to make predictions for one variable based on information about another variable d. the pattern of data points forms a reasonably straight line
Need asap. Just need help with the last answer.
A researcher is interested in seeing if there is a relationship the amount of time in minutes a person spends in their car during the day and the number of minutes that person spends listening to music. Car Time 63 14 241 93 140 3 91 45 22 Music Time 73 16 260 142 206 31 78 47 29 a. Find the equation of the regression line and use it to make a prediction of the dollars purchased by someone who visits the website 4 times.b. Interpret the slope in the context of the problem.c. Interpret the y-intercept in the context of the problem or state why it is not applicable.d. State the null and alternative hypotheses for the hypothesis test of correlation e. Find the pvalue and state your conclusion in the context of the study.
Need help with the last answer in the red box as it is wrong.
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House prices How does the price of a house depend on its size? Data from Saratoga, New York, on 1064 ran-domly selected houses that had been sold include data on price ($1000’s) and size (1000’s ft2 ), producing the following graphs and computer output:a) Explain in context what the regression says.b) The intercept is negative. Discuss its value, taking noteof its P-value.c) The output reports s = 53.79. Explain what thatmeans in this context.d) What’s the value of the standard error of the slope ofthe regression line?e) Explain what that means in this context.
KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
Please help, this is for financial mathematics, thank you so much!!!!
a: 335 b: 355 c: 365
Need regression equation, graph, and predict the value of y for a-d.

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