Consider the following data for a dependent variable y and two independent variables, x1 and 2.29139446111092417112511617841945219175748.171361211760141437717211Enter negative values as negative numbers, if necessary.a. Develop an estimated regression equation relating y to #1. (Round your answers to two decimal places.)+Predict y if æ1 = 45. (Round your answer to the nearest whole number.)%3Dŷ =b. Develop an estimated regression equation relating y to #2. (Round your answers to two decimal places.)Predict y if æ2 = 15. (Round your answer to the nearest whole number.)c. Develop an estimated regression equation relating y to #1 and 12. (Round your answers to two decimal places.)T1 +Predict y if 2145 and 2215. (Round your answer to the nearest whole number.)%3D6.

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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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The weights (in pounds) of 6 vehicles and the variability of their braking distances (in feet) when stopping on a dry surface are shown in the table. Can you conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? Use a = 0.05. Weight, x Variability in braking distance, y 5980 5370 6500 5100 5820 4800 1.72 1.97 1.87 1.63 1.64 1.50 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho: Ha: P Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) O A. The critical value is. B. The critical values are - to and to %3D Calculate the test statistic. t= (Round to three decimal places as needed.) What is your conclusion? There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and…
Which one of the following is an example of a qualitative variable? a. The number of teachers working in UTAS-Nizwa b. The number of pages in a notebook c. The profit earned by a company in month d. The ambience of a 5 star hotel
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.8. Calculate ß, and B, for the following data : X: 1 2 4 5 6 8 F: 10 15 20 25 20 15 10
Find the value of mode from the data given below: Weight (kg) 2 113-1 17 Weight (kg.) No. of students No. of students 93-97 14 5 118-122 12 123-127 17 128-132 98-102 6. 103-107 108-112
The data below was collected from manufacturer advertisements of their vehicles horsepower (x) and highway gas mileage (mpg=y). Use this data to answer the following questions. horsepower 146 250 340 350 390 190 220 mpg 33 28 15 17 11 35 42 1. Find the p-value to determine if there is a linear correlation between horsepower and highway gas mileage (mpg). Record the p-value below. Round to four decimal places.p-value==2. Is there a linear correlation between horsepower and highway gas mileage (mpg)? 3. If there is a linear correlation, write the correlation coefficient below. Otherwise, leave it blank. Round your final answer to four decimal places. Be careful with your sign.r=r= 4. If there is a linear correlation, write the regression equation below. Otherwise, leave it blank. Round all numbers to four decimal places.ˆy=y^=5. Using the data shown above, predict the the highway gas mileage (mpg) for a car that has a horsepower of 225. Round your final answer to two decimal…
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C. Amount of money spent 4. Construct a scatter plot for the following set of data. What correlation exists between the variables? Grade in calculus (x) and grade in entrepreneurship () 78 85 94 90 82 87 77 88 87 85 95 89 81 84 78 88 86 80

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Consider the following data for a dependent variable y and two independent variables, 21 and 2. 29 13 94 46 11 109 24 17 112 51 16 178 41 6. 94