b. What does the scatter diagram developed in part (a) indicate about the relationship between the two variables?There appears to be a - Select your answer -linear relationship between a and y.c. Try to approximate the relationship between æ and y by drawing a straight line through the data.|to provide a linear approximation of the relationship between æ and y.d. Develop the estimated regression equation by computing the values of bo and bị using equations: (Enter negative values as negative figure)Select your answer -E(z; – 7)(y: – T)bịbo = j – bịax (to 2 decimals)e. Use the estimated regression equation to predict the value of y when a = 6.(to 2 decimals)+ Given are five observations for two variables, a and y.410923145649521028

As per our guidelines we can solve first three subpart and rest can be reposted. Solution-: Given…

Answered: b. What does the scatter diagram…

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 computer output to estimate the interceptPo and the slope B,. The regression equation is Y 797 - 4.73X. %3D Predictor Coef SE Coef T Constant 797.101 86.64 9.20 0.000 -4.731 1.551 -3.05 0.006 Intercept Bo: Slope B: eTextbook and Media Hint Save for Later Type here to search
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Using the weights (b) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight Co through (d). E Click the icon to view the car data. ..... b. What are the specific values of the slope and y-intercept of the regression line? O A. The slope is 58.9 and the y-intercept is - 0.00749. O B. The slope is 58.9 and the y-intercept is 0.007499. O C. The slope is -0.00749 and the y-intercept is 58.9. O D. The slope is 0.00749 and the y-intercept is 58.9. c. What is the predictor variable? O A. The predictor variable is highway fuel consumption, which is represented by x. O B. The predictor variable is highway fuel consumption, which is represented by y. O C. The predictor variable is weight, which is represented by x. O D. The predictor variable is weight, which is represented by d. Assuming that there is a significant linear correlation between weight and highway fuel…
The accompanying data are the length (in centimeters) and girths (in centimeters) of 12 harbor seals. Find the equation of the regression line. Then construct a scatter plot of the data and draw the regression line. Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. If the x-value is not meaningful to predict the value of y, explain why not. (a) x= 140 cm E Click the icon to view the table of lengths and girths. (b) x= 172 cm (c) x= 164 cm (d) x= 158 cm The equation of the regression line is y=x+ (Round to two decimal places as needed.) Construct a scatter plot of the data and draw the regression line. Plot length on the horizontal axis and girth on the vertical axis. Choose the correct graph below. O A. OB. Oc. OD. Q 140 140 140 140 100 100 100 100 120 180 120 160 120 180 120 180 (a) Predict the girth for a length of 140 cm, if it is meaningful. Select the correct choice below and, if necessary, fill in the answer box within your…
Researchers used the simple linear regression model to study the relationship between social media screen time during a week and end-of-week quiz results. As one of the researchers, find the predicted quiz score if a student spends 18.46 hours during the next week using social media. Use the data in the table below to build the estimated regression equation and then use this equation to find the predicted quiz score: Social media weekly time, hours 14.5 3.7 30.4 34.23 2.7 16.8 13.6 4,7 20,6 4.9 Round your answer to 2 decimals. Less I Quiz results, out of 100 76.8 98.45 57.6 45.5 74.78 75.7 93.67 57.8 35.7 94.8
The grades of a class of 9 students on a midterm report (x) and on the final examination (y) are as follows: (10) (x) 70 55 72 72 81 94 96 99 67 (y) 80 67 78 34 47 85 99 99 68 a. Find the equation of the regression line. b. Estimate the final examination grade of a student who received a grade of 85 on the midterm report but was ill at the time of the final examination. c. Compute the standard error of estimate.yxS.
Step 1. Find the estimated slope. Round your answer to three decimal places. Step 2. Find the estimated y-intercept. Round your answer to three decimal places. Step 3. Determine the value of the dependent variable y at x = 0. Answer: A) b0 B) b1 C) x D) y Step 4. Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable y. Step 5. Find the estimated value of y when x = 1.5. Round your answer to three decimal places. Step 6. Find the value of the coefficient of determination. Round your answer to three decimal places.
# The table contains the state population and the number of licensed drivers in the state (both in millions) for the states with population under 1 million in 2014. The regression model for this data is y 0.7x where x is the state population (in millions) and y is the number of State licensed drivers (in millions) in the state. (A) Draw a scatter plot of the data and a graph of the model on the same axes. Choose the correct graph below OC Diverse) 07 Se pun CHANG The estimated population of state Jin 2014 is (Type a whole number Round to the nearest thousand as needed) 0.5 (8) If the population of state H in 2014 was about 1.6 million, use the model to estimate the number of licensed drivers in state H in 2014 The estimated number of licensed drivers in state H in 2014 is (Type a whole number. Round to the nearest thousand as needed) (C) If the number of licensed drivers in state J in 2014 was about 1,043.000, use the model to estimate the population of state Jin 2014 AOCDEFO А С OD…
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The number of hours 6 students spent for a test and their scores on that test are shown below. Hours spent studying, x 0 Test score, y 38 Find the regression equation. 2 3 3 4 6 45 50 49 61 68 0 (a) x = 2 hours (c) x = 15 hours (b)x=4.5 hours (d) x=2.5 hours y = X + (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
A researcher wanted to predict the sodium content (in milligrams) of beef hot dogs by looking at the calorie content. His findings from a sample of 10 beef hot dogs are summarized below. The regression equation for his data is ŷ= -299.48 + 4.35 x Calories 186 181 176 149 184 190 158 139 175 148 Sodium 495 477 425 322 482 587 370 322 479 375 Interpret the slope in terms of this problem. If appropriate, find the sodium content if the calorie content is 170. If not, why? If appropriate, find the sodium content if the calorie content is 136. If not, why?
b. Find the equation of the regression line for the minutes the actor appeared shirtless in a film and the film's opening weekend gross. y = ___x + ____(Round to two decimal places as needed)
Find the slope (b1) for the regression equation for the following values. Round to 3 decimal places. Define Variables xi yi 33 180 25 170 50 200 65 186 57 160 27 165

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