3. A mathematics placement test is given to all entering freshmen at a smallcollege. A student who receives a grade below 35 is denied admission to theregular mathematics course and placed in a remedial class. The placement testscores and the final grades for 20 students who took the regular course wererecorded as follows:Placement Test Course Grade | Placement Test | Course Grade50539054353541806091614840566071556860716536404735115553607050689079655735595079(a) Plot a scatter diagram.(b) Find the equation of the regression line to predict course grades fromplacement test scores.(c) Graph the line on the scatter diagram(d) If 60 is the minimum passing grade, below which placement test scoreshould students in the future be denied admission to this course?

(a) Plot a scatter diagram. (b) Find the equation of the regression line to predict course grades placement test scores. (c) Graph the line on the scatter diagram (d) If 60 is the minimum passing grade, below which placement test

(a) Plot a scatter diagram. (b) Find the equation of the regression line to predict course grades placement test scores. (c) Graph the line on the scatter diagram (d) If 60 is the minimum passing grade, below which placement test

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

KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
I’m taking a statistics and probability class. Please get this correct because I want to learn. I have gotten wrong answers on here before
Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 33 72 y 40 35 30 26 17 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. A scatter diagram has a horizontal axis labeled "x (average number of employees)" with values from 3 to 72 and a vertical axis labeled "y (average cost as percentage)" with values from 17 to 40. The scatter diagram has 5 points. A pattern goes up and right from (13, 17) to (72, 40). A scatter diagram has a horizontal axis labeled "x (average number of employees)" with values from 3 to 72 and a vertical axis labeled "y (average cost as percentage)" with values from 17 to 40. The scatter diagram has 5 points. A pattern goes down and right from (3, 40) to (72, 17). A scatter diagram has a horizontal axis labeled "x (average number of employees)" with values from 3 to 72 and a vertical axis labeled…
What is the dollar amount of change in sales for each new year according to the regression (slope) model? Do not use commas or $ in your answer.
Grades The data set below shows midterm scores froman Introductory Statistics course. a) Fit a model predicting the second midterm score fromthe first.b) Comment on the model you found, including adiscussion of the assumptions and conditions forregression. Is the coefficient for the slope statisticallysignificant?c) A student comments that because the P-value for theslope is very small, Midterm 2 is very well predicted from Midterm 1. So, he reasons, next term the profes-sor can give just one midterm. What do you think?
For the relationship between Calories and Carbs, here is the equation of the line of best fit: Regression Equation: Calories = 2.36 + 4.432 Carbs What would you predict for the number of Calories if a cereal had 28 Carbs?
Match the coefficient of determination to the scatter diagram. The scales on the x-axis and y-axis are the same for each scatter diagram (a) R2 0.90, (b) R2 0.58, (c) R2 =1 (a) Scatter diagram Explanatory (b) Scatter diagram (c) Scatter diagram Explanatory III Explanatory
Part II: Joe and his Dream Porsche Joe is 16 years old and has decided that he wants a brand-spankin' new Porsche Boxter Convertible, but his mom says there's no way that he could ever afford it! So, Joe has decided to show his mom that he will be able to purchase his dream car at the age of 35 if he plans his finances just right. He's asked you to help him plan. A. How much will his car cost in 19 years? The following table shows the approximate MSRP (manufacturers suggested retail price) of a Porsche Boxter Convertible from 2004 to 2008. Create a scatter plot of the data and determine the line of best fit, finding an appropriate slope and initial value assuming it started in 2004.. Year MSRP 2004 $57 510 2005 $59 130 2006 $60 750 2007 $61 965 2008 $63 600 B. Financing Joe's new Porsche Joe knows that he will have to put 10% down on his car. To save up for this down payment, he plans on investing a set amount monthly, starting now, into Teen's Choice Financial's Interest Plus Savings…
How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? low moderate strong Would you say the correlation is positive or negative? positive negative (c) Use a calculator to verify that x = 67, x2 = 1265, y = 644, y2 = 93,546, and xy = 10,544. Compute r. (Round your answer to three decimal places.) As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should…
Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lap
Susan wants to learn more about how temperature changes in her city. She creates a table that shows the low temperatures for two days. The table is below. Which of the following statements is correct? Day Temperature 1 -8° 2 -3° The slope between the data points is positive because two negatives makes a positive. The slope between the two data points is negative because the temperature decreased from Day 1 to Day 2. The slope between the two data points is positive because the temperature increased from Day 1 to Day 2. The slope between the two data points is negative because the two temperatures are negative.
The following table shows retail sales in drug stores in billions of dollars in the U.S. for years since 1995. 220- 210 200 190 180 170 160 150 Year 0 130- 120- 110- 100- 90 801 6 12 15 Let S(t) be the retails sales in billions of dollars in t years since 1995. A linear model for the data is F(t) = 9.44t + 84.182. Retail Sales 85.851 108.426 141.781 169.256 202.297 222.266 3 6 9 12 15 Use the above scatter plot to decide whether the linear model fits the data well. The function is a good model for the data. The function is not a good model for the data Estimate the retails sales in the U. S. in 2015. billions of dollars.