MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- Annual high temperatures in a certain location have been tracked for several years. Let ✗ represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). = y 3 19.17 4 18.36 5 21.15 6 22.34 7 23.93 8 26.02 9 24.51 10 28.7 11 30.59 12 | 29.08 13 31.07 14 35.36 15 32.85 16 36.74 17 37.93 X +arrow_forwardBased on the data shown below, use software such as Excel to calculate the slope and y-intercept and determine the regression line. y 22.4 3 19.35 4 22.3 21.15 21.9 7 20.35 8. 21.6 19.95 10 20 Round each value to two decimal places. Submit and End Priv Terr OCT 21 MacBook Pro 000 esc F5 F6 F7 F3 F4 F1 2$ & 4 5 6 Q W T Y tab RI # 3arrow_forwardUse 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. 12 7.44 11 9. 13 12.76 13 8.53 4 5.48 12 7.96 6. y 7.27 6.65 6.89 6.3 6.23 5.91 Create a scatterplot of the data. Choose the correct graph below. O A. O B. Oc. O D. 25 25- 25 Ay 25 20- 20- 20 20- 155 155 15 15 105 105 10- 105 55 55 53 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 05 10 15 20 25 Find the equation of the regression line. (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed) Identify a characteristic of the data that is ignored by the regression line, O A. There is no characteristic of the data that is ignored by the regression line. O B. There is an influential point that strongly affects the graph of the regression line. C. There is no trend in the data. O D. The data has a pattern that is not a straight line. 5,arrow_forward
- 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. x 14 8 10 11 13 7 12 4 y 19.64 15.50 18.30 11.28 19.16 17.08 19.84 13 56 19.68 8.64 5.64 y=+x (Round to two decimal places as needed.) uter Name: ws Logon: ws Domain: IP Address: MAC Address Help me solve this View an example Get more help - Clear all Check answer Floor: Department: Default Printer: 65 立arrow_forwardCreate a scatterplot of the data. Choose the correct graph Identify a characteristic of the data that is ignored by the regression line.arrow_forwardUse 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. x 11 12 10 6 13 14 7 5 4 8 9 y 14.34 14.30 14.01 8.90 13.86 13.05 10.74 6.66 4.05 12.21 13.31arrow_forward
- 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. 14 8 10 9 5 11 13 7 12 O y 17.02 14.07 6.02 16.27 15.32 10.66 8.49 16.91 17.29 12.51 17.26 y =| |+ x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. В. O B. OD. Av 25- 25- 25- 25- 20 20- 20- 20- 15 155 15- 155 10- 10- 10- 10 55 5 55 5 04 Ó 5 10 15 20 25 0- 0- 0- O 5 10 15 20 25 O 5 10 15 20 25 Ó 5 10 15 20 25 Identify a characteristic of the data that is ignored by the regression line. O A. There is an influential point that strongly affects the graph of the regression line. O B. The data has a pattern that is not a staight line. . OC. There is no trend in the data. O D. There is no characteristic of the data that is ignored by the regression line.arrow_forwardUse 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. X 6 10 8 9 11 12 13 y 10.46 16.87 14.27 15.72 17.71 18.26 18.49 y=+x (Round to two decimal places as needed.) 5 8.09 4 5.42 14 7 18.42 12.51arrow_forwardy 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. X 11 7 7 4 13 13 10 12 14 13.32 6.78 7.89 8.93 5.83 5.44 y 7.59 6.64 8.05 7 5 D 6.3 5.94 (...) OA. B. O D. Q 25- Q 25- 20 20 15 Q Q 155 10 10- O C. 25+ 20 153 5- DOOR P 28 10 5- 0 5 0 5 10 15 20 25 0 5 10 15 20 25 0- 0 5 10 15 20 25 Find the equation of the regression line. y=0+0x (Round the y-intercept two decimal places as needed. Round the slope to three decimal places as needed.) Identify a characteristic of the data that is ignored by the regression line. OA. There is no characteristic of the data that is ignored by the regression line. B. The data has a pattern that is not a straight line. OC. There is an influential point that strongly affects the graph of the regression line. Av Ay 25 20 15: 10 Q Q Aу Ay / 53 0 0 5 10 15 20 25arrow_forward
- Based on the data shown below, calculate the regression line. y 1 4.27 3.64 3 3.31 5.08 5.85 6. 2.42 y = [three decimal accuracy] [three decimal accuracy] 45arrow_forwardRun a regression analysis on the following bivariate set of data with y as the response variable. y 56.3 -257.6 14.5 670.8 49.4 431 60.7 200.3 60.1 70.3 52.6 -162.4 46.2 -406.9 45.1 -3.6 39.6 292.4 51.2 274.8 53.1 -77.4 50 496.6 46.9 251.5 48.5 -188.7 79.8 233 33.5 -415.6 49.2 431.3 download link provided here: Download CSV Predict what value (on average) for the response variable will be obtained from a value of 32.1 as the explanatory variable. Use a significance level of a = 0.05 to assess the strength of the linear correlation. What is the predicted response value? y = 169.94127 (Report answer accurate to one decimal place.)arrow_forwardUse 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. X 13 6 5 10 15 8 11 7 12 9.76 15.51 14 9 15.69 12.97 y 15.76 7.69 5.32 14.12 15.32 11.51 14.97 y=+x (Round to two decimal places as needed.) Create a scatterplot of the data. Choose the correct graph below. O A. Y 25- 20 15- 10- 5 0- 0 5 10 15 20 25 Q O B. O A. The data has a pattern that is not a straight line. OB. There is no trend in the data. 25- 20 Identify a characteristic of the data that is ignored by the regression line. y 15: 10€ Sp D 5- 0- 0 5 10 15 20 25 O C. There is an influential point that strongly affects the graph of the regression line. O D. There is no characteristic of the data that is ignored by the regression line. Q ✔ C O C. Ay 25- 20- 15- 10- 5- 0- 0 5 10 15 20 25 Q ✓ O D. 25- 20 155 10€ 53 0- 0 5 10 15 20 25 Qarrow_forward
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