The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Question HelpCommute Time (minutes), xWell-Being Index Score, y515254069.1 68.1 67.2 66,3 65.1 64.4 62.56084 105 O(a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable.y=ロx+ (■)(Round to three decimal places as needed.)(b) Interpret the slope and y-intercept, if appropriate, Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. For every unit increase in commute time, the index score falls by(Round to three decimal places as needed.)on average.O B. For an index score of zero, the commute time is predicted to be(Round to three decimal places as needed.)minutes.O C. For every unit increase in index score, the commute time falls by , on average.(Round to three decimal places as needed.)O D. For a commute time of zero minutes, the index score is predicted to beClick to select your answer(s).•7:55acer&#$8.6.tyreW个2 The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below.Commute Time (minutes), xWell-Being Index Score, y5.1525 4069,1 68.1 67.2 66.3 65.1 64.4 62.560 84105 OInterpret the y-intercept. Select the correct choice below and, if necessary, fill in the answer box to complete your choice.O A. For every unit increase in commute time, the index score falls by, on average.(Round to three decimal places as needed.)O B. For a commute time of zero minutes, the index score is predicted to be.(Round to three decimal places as needed.)O C. For an index score of zero, the commute time is predicted to beminutes(Round to three decimal places as needed.)O D. For eery unit increase in index score, the commute time falls byon average(Round to three decimal places as needed.)O E. It is not appropriate to interpret the y-intercept because a commute time of zero minutes does not make sense and the value of zero minutes is much smaller than those observed in the data set(c) Predict the well-being index of a person whose commute time is 30 minutes.Click to select your answer(s).aceresc&8%#m

Answered: Image /qna-images/answer/2d90cbe2-736b-44d3-98f1-1f439aed55fa.jpg

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x Well-Being Index Score, y 5 15 25 40 60 84 105 O 69.1 68.1 67.2 66.3 65.1 64.4 62.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y=x+ (D (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For every unit increase in commute time, the index score falls by .on average (Round to three decimal places as needed.) O B. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) minutes. O C. For every unit increase in index score, the commute time falls by , on average. (Round to three decimal places as needed.) O D. For a commute time of zero minutes, the index score is predicted to be

The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x Well-Being Index Score, y 5 15 25 40 60 84 105 O 69.1 68.1 67.2 66.3 65.1 64.4 62.5 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y=x+ (D (Round to three decimal places as needed.) (b) Interpret the slope and y-intercept, if appropriate. Interpret the slope. Select the correct choice below and, if necessary, fill in the answer box to complete your choice O A. For every unit increase in commute time, the index score falls by .on average (Round to three decimal places as needed.) O B. For an index score of zero, the commute time is predicted to be (Round to three decimal places as needed.) minutes. O C. For every unit increase in index score, the commute time falls by , on average. (Round to three decimal places as needed.) O D. For a commute time of zero minutes, the index score is predicted to be

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Is It Getting Harder to Win a Hot Dog Eating Contest?Every Fourth of July, Nathan’s Famous in New York City holds a hot dog eating contest. The table below shows the winning number of hot dogs and buns eaten every year from 2002 to 2015, and the data are also available in HotDogs. The figure below shows the scatterplot with the regression line. Year Hot Dogs 2015 62 2014 61 2013 69 2012 68 2011 62 2010 54 2009 68 2008 59 2007 66 2006 54 2005 49 2004 54 2003 45 2002 50 Winning number of hot dogs in the hot dog eating contest Winning number of hot dogs and buns Click here for the dataset associated with this question. (a) Is the trend in the data mostly positive or negative? Positive Negative (b) Using the figure provided, is the residual larger in 2007 or 2008?Choose the answer from the menu in accordance to item (b) of the question statement 20072008 Is the residual positive or…
Property assessments The software outputs belowprovide information about the Size (in square feet) of18 homes in Ithaca, New York, and the city’s assessedValue of those homes.Variable Count Mean StdDev RangeSize 18 2003.39 264.727 890Value 18 60946.7 5527.62 19710 a) Explain why inference for linear regression is appro-priate with these data. b) Is there a significant association between the Size of a home and its assessed Value? Test an appropriate hy-pothesis and state your conclusion. c) What percentage of the variability in assessed Value isexplained by this regression?d) Give a 90% confidence interval for the slope of thetrue regression line, and explain its meaning in theproper context.e) From this analysis, can we conclude that adding aroom to your house will increase its assessed Value?Why or why not? *f) The owner of a home measuring 2100 square feet filesan appeal, claiming that the $70,200 assessed Value istoo high. Do you agree? Explain your reasoning.
In baseball, two statistics, the ERA (Earned Run Average) and the WHIP (Walks and Hits per Inning Pitched), are used to measure the quality of pitchers. For both measures, smaller values indicate higher quality. The following computer output gives the results from predicting ERA by using WHIP in a least-squares regression for the 2017 baseball season. Variable DF Estimate SE T Intercept 1 -5.0 0.26 - 19.3 WHIP 1 6.8 0.14 47.4 Which of the following statements is the best interpretation of the value 6.8 shown in the output? ERA is predicted to increase by 6.8 units for each 1 unit increase of WHIP. WHIP is predicted to increase by 6.8 units for each 1 unit increase of ERA. For a pitcher with 0 units of WHIP, the ERA is predicted to be approximately 6.8 units. For a pitcher with 0 units of ERA, the WHIP is predicted to be approximately 6.8 units. Approximately 6.8% of the variability in ERA is due to its linear relationship with WHIP.
Data on 12 randomly selected athletes was obtained concerning their cardiovascular fitness (measured by time to exhaustion running on a treadmill) and performance in a 20-km ski race. Both variables were measured in minutes and a regression analysis was performed. ski 85 2.5. treadmill = Coefficients Estimate (Intercept) Treadmill 85 - 2.5 Std. Error What is the test statistic? -2.5 0.45 1 Is there sufficient evidence to conclude that there is a linear relationship between cardiovascular fitness and ski race performance? Round your answers to three decimal places. Using your answer from the previous question, find the p-value. Part 2 o
The data below represents commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute time (in minutes), x 5, 20, 25, 40, 60, 84, 105 Well-being index score, y 69.1, 67.8, 67.1, 66.3, 66.0, 64.3, 62.3 Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. y=___x + ____ (round to three decimal places as needed).
Statistical software is generally used to test the significance of a regression model. The table below shows software output for a least squares regression line. Fill in the blanks with the correct answers, using the table above. Assume a significance level of 0.05. The variable "unemp" is the_______variable. The value of the slope of the regression line is_______. The slope of the regression line is not significantly different from______because the p-value is______ which is larger than 0.05.
Statistics students in Oxnard College sampled 10 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 420 64.8 291 49.19 970 114.3 280 43.2 583 66.47 700 74 397 44.73 254 36.86 702 81.18 912 93.08 A student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 285.Cost = $ (Please show your answer to 2 decimal places.)
PLease answer asap <3
Predicted index score.
Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 726 35.3 737 45.85 355 24.75 255 14.75 754 34.7 797 49.85 898 59.9 424 18.2 391 31.55 A student calculates a linear modelyy = Incorrect xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 777.Cost = $ (Please show your answer to 2 decimal places.)
Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore and recorded the number of pages in each textbook and its cost. The bivariate data are shown below: Number of Pages (xx) Cost(yy) 605 43.35 844 70.08 525 47.75 303 24.21 341 36.87 734 56.38 928 65.96 939 81.73 831 76.17 A student calculates a linear modelyy = xx + . (Please show your answers to two decimal places)Use the model to estimate the cost when number of pages is 223.Cost = $ (Please show your answer to 2 decimal places.)
The data below represent commute times (in minutes) and scores on a well-being survey. Complete parts (a) through (d) below. Commute Time (minutes), x 15 25 35 60 84 105 O Well-Being Index Score, y 69.0 67.7 66.5 65.6 63.4 62.0 59.4 (a) Find the least-squares regression line treating the commute time, x, as the explanatory variable and the index score, y, as the response variable. (Round to three decimal places as needed.)