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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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.
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.
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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
Suppose a researcher collects data on the air pollution levels, measured in milligrams per cubic meter, for both urban and rural areas in 35 states. The data is plotted with urban air pollution levels on the horizontal axis and rural air pollution levels on the vertical axis. Nevada is an outlier in the ?x‑direction. What must be true about this state? The urban air pollution levels for this state are much higher or lower than the rest of the states in the data set. The rural air pollution levels for this state are much higher or much lower than the rest of the states in the data set. This state is an influential observation. The rural air pollution levels for this state are much higher or lower than other states in the data set that have similar urban air pollution levels. The absolute value of the residual of this state is large.

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