Given are five observations for two variables, x and y.х, 12 354y; 47 510 14(a) Develop a scatter diagram for these data.y18y18y18y1815151515121212129966.6633-33X1.2345634642.346(b) What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?O There appears to be a negative linear relationship between x and y.O There appears to be a positive linear relationship between x and y.O There appears to be no noticeable relationship between x and y.(c) Try to approximate the relationship between x and y by drawing a straight line through the data.yyyy18-18+18+18-151515-151212121299996-6-6-33312342451231.23456 (d) Develop the estimated regression equation by computing the values of b, and b, using b,[(x, - x)(y, - Y)and b, = y - b,x.I(x, - x)2(e) Use the estimated regression equation to predict the value of y when x = 4.

Solution: x y (x-x) (x-x)2 (y-y) (x-x)(y-y) 1 4 -2 4 -4 8 2 7 -1 1 -1 1 3 5 0 0 -3 0 4…

Answered: iven are five observations for two…

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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3. You would like to determine if there is a statistical relationship between the amount of caffein in a cup of coffee and their sales at their coffee franchises. The data is included in the set "Coffee by the Cup". Here is information about the variables. Variable Caffeine Cups Sold Measurement Amount of caffeine in one cup Number of cups of the coffee Units Milligrams Cups sold sold at all of the franchises a. Which variable is the explanatory variable and which variable is the response variable? b. Construct a scatterplot of the data. Based upon the scatterplot is there a linear relationship between the amount of caffeine in one cup of the coffee and the number of cups of coffee sold? Justify your reasoning using the scatterplot. c. Run a t-test for correlation using technology. Make sure you include the p-value and the printout. According to the t-test, is there a statistical relationship between the amount of caffeine in a cup of coffee and the number of cups sold? Justify your…
The following table shows the weekly sales, test scores & achievement ratings of 5 salespersons working for a local car dealership: Salesperson Weekly Sales (Y) Sales Aptitude Test Score (x1) Mechanical Achievement (x2) Walters 11 10 6 Sullivan 5 4 2 Obmer 8 1 4 Smith 12 7 5 Jones 4 3 1 Brown 6 5 3 Black 7 2 2 Calculate the multiple correlation coefficient.. Select one: a. 0.925 b. 0.952 c. 0.295 d. 0.592
Please answer e,f,g based on the given question.
4. Consider the following data: XINMASSN 1 2 3 4 5 6 7 y 6 7 5 4 3 1 2 a) Make a scatterplot of these data. The variable labeled "x" should be plotted along the x-axis. Describe the pattern. b) Find the correlation coefficient for these data.
Page 34 Compute the correlation coe cient, r, for the following table: X 10 y 5 12 15 16 1 4 6 18 1 9 7 8 1 25 12 14 17 3 6
17 and 18
q16
The following data are the numbers of local channels available in 16 citie 16, 10, 20, 8, 35, 20, 13, 28, 38, 31, 21, 27, 9, 11, 28, 27 Send data to calculator Using the tool provided, construct a box-and-whisker plot for the data. 10 15 20 25 30 35 40 Number of local channels avalable 5n
There appears to be a problem with one of your contact methods. Please check your SettingS Enter the following table into your calculator or the Desmos Grapher and create the scatterplot. X 2 60 33 2,100 36 2,860 49 14,440 65 10,560 79 567,860 79 570,560 97 2,238,200 95 3,674,760 98 5282120 1. Is there a correlation for the data? If so, is it strong or weak? 2. What shape of function does the scatterplot show? 3. Use your calculator or the Desmos Grapher to find the equation for the line/curve of best fit. Now, use the equation editor to give the equation for the line/curve of best fit. 4. Determine if this equation is a good predictor of the data, using the appropriate number as proof/reasoning.

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