12. a. Would the correlation between the age of a child and the number of vocabulary words theyknow be positive, negative, or would there be no correlation? Explain.b. Would the correlation between the hours of partying the night before an exam one does, andthe final exam grade be positive, negative, or would there be no correlation? Explain.c. A study was run on the pounds of cheese someone eats per year, and their level of happiness. Itturns out that the two are positively correlated. Give some examples of lurking variables.n=1013. The following table shows the age (in months) and the number of hours slept in a day of 10 infants.Age, x89101 218.5 17Hours slept, y12.510.5 113 4 5 616.2 14.8 13.7 13a.) Draw a scatterplot of the data. y 20Label each axis with a scale.18Dots can be approximately located.HRS Slept1/6ه دوره 2 - 20●24712Agexx10 12 b.) Approximate the correlation coefficient.c.) The regression equation is: y = -0.8521x + 18.607. Replace the variables in the equation with thevariable names "age" and "hours slept."d.) Use the regression equation to predict the amount of sleep for an infant that is 6months old. Show your work. Use the regression equation to predict how many hoursof sleep a 1.5 year old would need. Show your work.e.) Why is this correlation negative?14. 5 students were asked to record their GPA from High School and College. The results are below:Student HS GPA College GPA3.8ABCDE233.1454.02.53.32.82.2Sample x-H.S. GPA y- College GPA1Sum=3.51.92.5a. Find the correlation coefficient r by filling in the following chart and using the formula:y²Sum=Sum=x²Sum=Sum=xy

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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 below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.5 7. 3.5 2.6 2.3 2.4 0.4 13.8 11 10 6.3 6.1 5.9 4.1 I = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85T + 3.97. Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 1.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.2 thousand automatic weapons? Answer = Round to 3 decimal places. Question Help: O Message instructor Submit Question to search 1O
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Please give maximum value for this data!

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