Write the answer in word file with explaination, kindlydon't use handwritting for not getting deslike.Q4. Dr. Ahmad has noticed many of his students have been absent from class thissemester. He feels that he can explain this sluggish attendance by thedistance his students live from campus. Eleven students are selected as tohow many miles they must travel to attend class and the number of classesthey have missed.Miles, x56 209121657 08Misses, y22 454 252 3 1 4(a)Draw a scatter plot for the variable given in the table.(b)Then find the regression line using the least squares method. Then estimate thenumber of class a student will misses when he or she lives 15 miles fromcampus.(c)Find and interpret the coefficient of determination.(d) Find and interpret the Pearson correlation coefficient.110

The following information has been provided: x y 5 2 6 2 2 4 0 5 9 4 12 2 16 5 5…

Answered: Q4. Dr. Ahmad has noticed many of his…

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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how can i Draw x-y and x-z plots. Interpret the skewness of these plots.
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An electronics store sells new and used Z-phones. The store manager made the scatter plot below to show the selling prices of used Z-phones and their ages, in monthsIf these data are modeled by the line y=-10x+410, which best describes a valid prediction the manager could make, based on the dataA.If the store sells a Z-phone that is 30 months old, it will probably sell for only $50B.If the store sells a brand-new Z-phone, it can expect a customer to pay about $410C.For every one-month increase in phone age, the price a customer will pay increases by about $10D.For every one-year increase in phone age, the price a customer will pay decreases by about $10
The table and scatter plot show the time spent texting, x, and the time spent exercising, y, by each of 9 students last week. The equation of the line of best fit is y =-0.4x+6.99. Time spent Time spent 11+y texting, x exercising, y (in hours) 10 (in hours) 1.9 6.54 Time spent 2.2 5.48 exercising 2.8 6.94 (in hours) 3.5 5.16 4.1 4.50 4.6 4.30 4.9 6.50 5.5 3.36 Time spent texting 5.6 5.97 (in hours) Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed time spent exercising (in hours) Predicted time spent exercising (in hours) Residual Time spent texting (in hours) (in hours) 4.1 4.9
The table and scatter plot show the number of years of experience, x, and the hourly pay rate, v, for each of 11 cashiers in Florida. The equation of the line of best fit is y= 0.9x+8.02. Experience, x | Hourly pay rate, y (in years) (in dollars) 22 0.8 7.42 20- 1.0 9.71 18- 16- 1.3 8.00 Hourly 14- 2.0 9.08 pay rate 12- (in dollars) 3.3 11.40 10 3.6 12.12 8. 3.8 13.00 6. 5.0 14.50 7.0 12.40 8.6 15.46 10 Experience (in years) 8.8 15.87 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed hourly pay Predicted hourly pay Number of years of experience Residual rate (in dollars) rate (in dollars) (in dollars) 5.0 7.0
A study was done to look at the relationship between number of vacation days employees take each year and the number of sick days they take each year. The results of the survey are shown below. Vacation Days 2 7 0 3 2 9 15 3 8 0 11 Sick Days 10 3 6 5 4 5 0 4 2 11 0 Interpret the y-intercept in the context of the question: If an employee takes no vacation days, then that employee will take 8 sick days. The y-intercept has no practical meaning for this study. The best prediction for an employee who doesn't take any vacation days is that the employee will take 8 sick days. The average number of sick days is predicted to be 8
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a) Find the equation of the line which is the best fit for the data, with x equal to the number of years after 1999 and y equal to the millions of people b) Ise the model to estimate the number of people who took trips in 2008.
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#6. Basic Computation: Five-Number Summary, Interquartile Range 2 5 5 6 7 8 8 9 10 12 (a) Find the low, Q1, Median, Q3, and High. (b) Find the interquartile range (c) Make a box-and-whisker plot.
3. Interpret the slope and y-intercept, if appropriate.
The table and scatter plot show the time spent studying, x, and the midterm score, y, for each of 10 students. The equation of the line of best fit is y = 3.7x+ 14.64. Time spent Midterm studying, x (in hours) 100- score, y 90 3.3 22.41 70- 3.8 30.97 Midterm score 60 4.6 25.31 50 5.9 37.96 40 6.9 36.86 30 20 8.1 53.20 10- 8.5 44.64 9.2 57.51 10 12 14 16 18 20 22 24 16 12.0 59.04 Time spent studying (in hours) 15.0 65.00 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Time spent studying (in hours) Observed midterm Predicted midterm Residual Score Score 12.0 15.0 OIO

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