3. The following sample contains values of the price and quantity sold of a particularcommodity. Use quantity sold as the dependent variable Y.Price (X)Quantity sold(Y)6.00 3.0053 677.00 1.0048762.00 8.007028Σæ=27, Σy=342, Σ w2=163, Σ my=1295, Σ υ = 21062, n = 6.b) Predict the number of quantities sold for the commodity whose price is $5.00. b) Predict the number of quantities sold for the commodity whose price is $5.00.11354423411 -

Answered: Image /qna-images/answer/6ba67eb6-12cd-42a9-81d7-b9242fb8c6ad.jpg

Answered: The following sample contains values of…

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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Find the correlation coefficient between x and y values given below. 2 3 5 6 12 y 20 12 10 8 7 3 Select one: a. 0.920 b. 0.898 C.-0.898 d. -0.920 е. -0.296
Properties of scaling. Suppose that you want to examine the relationship between wages and experience measured in months rather than years. a) What is the variance of experience in months? Compare this to 1b). b) What is the covariance of wages and experience in months? Compare this to 1d). c) What is the correlation of experience and wages? Compare this to le). d) Prove mathematically that the Corr(cX,Y) = Corr(X,Y) using the properties of summation from class. Show each step of your proof.
d) Correlation by eye Sample size=45 y 20- 15- og 8. 10- 5. 10 15 20 25 X Try to guess the sample correlation within +/- 0.1 Guess: Correlation: Sample coeficient of correlation a o 00 00
a 24. Calculate coefficient of concurrent deviation from the following data : Price 368 Price Imports Imports 384 26 22 21 384 9b er i t ng 24 385 es yhslimie 29 of boTs (aunim) ng 28 ooisv 27 361 20 S JU Nse 400 ntessia el ul22 bidi erb orber385 347 eir)
A study of emergency service facilities investigated the relationship between the number of facilities and the average distance traveled to provide the emergency service. The following table gives the data collected. Average Distance Number of Facilities (miles) 1.67 11 1.11 16 0.82 21 0.62 27 0.50 30 0.47 (a) Develop a scatter diagram for these data, treating average distance traveled as the dependent variable. 1.8 T 35 1.8 1.8 1.6- 1.6- 1.6 30 1.4 1.4 1.4 1.2 25 1.2 1.2 1. 1. 1. 20 0.8 0.8 0.8 0.6 15 0.6 0.6- 0.4 0.4 0.4 10 0.2 0.2 0.2 0. 5 0. 0. 10 15 20 25 30 35 0. 0.2 0.4 0.6 0.8 1. 1.2 1.4 1.6 1.8 5 10 15 20 25 30 35 10 15 20 25 30 35 Number Distance Number Number (b) Does a simple linear regression model appear to be appropriate? Explain. O Yes, the scatter diagram suggests that there is a linear relationship. O No, the scatter diagram suggests that there is a curvilinear relationship. O No, the scatter diagram suggests that there is no relationship. (c) Develop an estimated…
The following sample contains values of the price and quantity sold of a particular commodity. Use quantity sold as the dependent variable Y. Price (X) 6.00 3.00 7.00 1.00 2.00 8.00 Quantity sold (Y) 53 67 48 76 70 28 ∑x}=27, ∑y=342, ∑x2=163, ∑xy=1295, ∑y2 = 21062, n=6. d. Find the coefficient of determination and interpret .
Which of the following choices could be the Pearson correlation between the x and y variables shown in the scatter plot shown here? a) .934 b) -.934 c) 1 d) 0
Match the following values of the correlation coefficients with the proper scatter plots below.
Please answer e,f,g based on the given question.
Q2. A fast-food chain decided to carry out an experiment to assess the influence of advertising expenditure on sales. Different relative changes in advertising expenditure, compared to the previous year, were made in eight regions of the country, and resulting changes in sales levels were observed the accompanying table shows the results. Increase in advertising expenditure (%) 0 5 15 20 25 30 35 40 Increase in sales (%) 5 10 18 25 35 50 60 65 Determine the value of ∑X, ∑X2, ∑Y, ∑Y2, ∑XY. Where X represent independent variable and Y for dependent variable. [2] Determine and interpret the coefficient of correlation between the two variables. [1] Determine the value of regressions coefficients and write down the simple linear regression

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