Use the given dataX 56.34yOA.F44$y=+x (Round to two decimal places as needed.)Create a scatterplot of the data. Choose the correct graph below.Ay252015-31056 11 137.54 9.34 8.11BOROo find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line.0 5 10 15 20 25F5► 11QQ%5512 98.86 9.45F633.11AF7OB.Identify a characteristic of the data that is ignored by the regression line.OA. There is an influential point that strongly affects the graph of the regression line.B. There is no trend in the dataOC. The data has a pattern that is not a straight lineOD. There is no characteristic of the data that is ignored by the regression line.&8 49.10 4.862520-1510AYF8COMOD530-0 5 10 15 20 2510 79.54 8.45F9PQQ*DELLF10!!!4F11CIEOC.Ay252015:105animan0 5 10 15 20 25F12PrtScr020QInsertDeleteO D.Ay25-20515-31055-30-0 5 10 15 20 25PgUpQQPaDnNext

Given data: 56.3467.54119.34138.11128.8699.4533.1189.144.86109.5478.45

Answered: 6 7.54 A. +x (Round to two decimal…

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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Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. 9 9 11 10 11 14 4 13 7 6 y 7.59 6.87 13.06 7.32 8.58 6.09 5.62 8.35 6.73 7.77 5.9 Create a scatterplot of the data. Choose the correct graph below. O A. OB. OC. Oc. OD. Ay 25- Ay 25- Ay 25- 25- 20 20- 20- 20- 155 155 155 155 105 105 105 105 5- 55 55 55 0- Ó 5 10 15 20 25 0- 0- 05 10 15 20 25 Ó 5 10 15 20 25 0 5 10 15 20 25 Find the equation of the regression line. (Round the constant two decimal places as needed. Round the coefficient to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. O A. The data has a pattern that is not a straight line. O B. There is no characteristic of the data that is ignored by the regression line. OC. There is an influential point that strongly affects the graph of the regression line. O D. There is no trend in the data.
Explain using evidence from graph a and graph b which graph indicates that the model for the data is a good fit .
d the linear regression equation and the value of the linear correlation coefficient r. Round to 2 decimals. 19) The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands): Cost| 7 2 3 4 2 5 9 10 Number 85 52 55 68 67 80 83 73 to Cost r =
Use the value of the linear correlation coefficient to calculate the coefficient of determination. What does this tell you about the explained variation of the data about the regression line? About the unexplained variation? r= -0.438 please dont copy paste the content from other sites
5. Explain what the correlation coefficient tells you about the relationship between your variables. 7. Interpret the slope of the regression equation in terms of the variables in your data set.
Which of the following data sets or plots could have a regression line with a negative slope? Select all that apply. Select all that apply: the difference in the number of ships launched by competing ship builders as a function of the number of months since the start of last year the number of hawks sighted per day as a function of the number of days since the two-week study started the total number of ships launched by a ship builder as a function of the number of months since the start of last year the average number of hawks sighted per day in a series of studies as a function of the number of days since the ten-week study started
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if you show work ill like the post thanks again! 4. 5. y un on line or graph paper. Average hourly earnings in the U.S. retail trade industry (in current dollars and constant dollars) are shown in the table. Year Current dollars Constant dollars 1993 4.88 5.70 1998 5.94 5.39 2003 6.75 5.07 2005 7.13 5.00 2006 7,29 4.97 What are the slopes of the regression lines? What do they mean? (Use correct units.) What does this say about the long-term prospects of retail trade industry employees? Use the regression lines to estimate the difference in current dollar and constant dollar hourly earnings in the year 2008.
Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF MS F P Regression Residual 76501718347 25500572782 *** **** Error 96 60109046053 626135896 Total 99 d) Is y significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term “R-sq" and comment on its value.
Use the regression equation to predict the value of y for x = -1.6. Assume that the variables x and y have a significant correlation. -5-34 1 -1-2 X 0 2 3 -4 y - -10 8 9 1 -2-6 -1 3 6 -8 OA. 1.214 OB. -2.803 O C. 2.980 OD. -3.907
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