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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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.
The table and scatter plot show the number of years of experience, x, and the hourly pay rate, y, for each of 10 cashiers in Arizona. The equation of the line of best fit is y = 0.9xr+8.22. Experience, x Hourly pay rate, y (in years) 22 (in dollars) 20+ 0.8 7.47 18- 1.1 9.46 +16- Hourly 2.2 8.91 14+ pay rate 3.1 11.46 (in dollars) 124 10 3.8 12.31 3.8 13.00 6- 5.0 14.50 6.9 12.40 8.5 15.44 10 10 11 8.8 15.79 Experience (in years) 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 Residual (in dollars) rate rate of experience (in dollars) (in dollars) 5.0 6.9
#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.
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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10.
Consider the following set of ordered pairs. Complete parts a through c. 5 1 30 8 2 4 X y 4 7 a. Calculate the slope and y-intercept for these data. y=+x (Round to four decimal places as needed.) b. Calculate the total sum of squares (SST). SST = (Round to two decimal place as needed.) c. Partition the sum of squares into the SSR and SSE. (Round to three decimal places as needed.) (Round to three decimal places as needed.) SSE = SSR=
Graph the line with the equation y = 4x – 1. 10 5 4 3 12 1 4. 5 6. 8. 10 -10 -9 -8 -7 -6 -5 -4 -3 -2 -1 -1 -3 -5 -8 -9 -10 tv
Homework Q1: Implement All plot types using MS Excel and Send the files Q2: What type of plot is most suitable to address the electromagnetic spectrum and why? Report Write a report about using plots for manufacturing of One of these types • • Lasers Light Emitting Diodes • Optical Switches 22
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The table and scatter plot show the number of hours worked, x, and the amount of money spent on entertainment, y, by each of 9 students. The equation of the line of best fit is y = 0.9x+18.98. Amount Number of hours 36 spent on entertainment, y (in dollars) 32 worked, x x x x 28- 3.0 17.48 Amount 24 spent on 4.0 22.48 20 entertainment 4.4 27.70 (in dollars) 16+ 5.4 19.95 12. 7.1 28.96 IS- 7.2 23.38 4- 8.0 28.50 10 10 12 14 16 9.0 28.50 Number of hours worked 12.0 29.78 Use the equation of the line of best fit to fill in the blanks below. Give exact answers, not rounded approximations. Observed amount Predicted amount Residual Number of hours worked spent on entertainment spent on entertainment (in dollars) (in dollars) (in dollars) 8.0 12.0
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