
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- For the following problems, construct a
scatter plot using excel. After the plot is drawn, analyze it to determine which type of relationship, if any, exists. - For each of the following problems compute the
correlation coefficient r, r2, (show the intermediary steps) and summarize/explain the results.
PROBLEM 1: The data below shows the reading (x) and math scores (y) of students.
Reading Scores |
Math Scores |
1 |
3 |
3 |
6 |
3 |
7 |
3 |
8 |
4 |
7 |
5 |
7 |
5 |
6 |
7 |
10 |
8 |
9 |
10 |
9 |
9 |
7 |
10 |
8 |
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- The following data was collected to explore how the average number of hours a student studies per night and the student's GPA affect their ACT score. The dependent variable is the ACT score, the first independent variable (x1�1) is the number of hours spent studying, and the second independent variable (x2�2) is the student's GPA. Effects on ACT Scores Study Hours GPA ACT Score 55 44 3030 44 33 3030 33 33 1919 33 33 1818 22 22 1818 Copy Data Step 1 of 2 : Find the p-value for the regression equation that fits the given data. Round your answer to four decimal placesarrow_forwardLet 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 32 75 y 40 35 30 26 18 (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? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…arrow_forwardPlease help!arrow_forward
- For the following problems, construct a scatter plot using excel. After the plot is drawn, analyze it to determine which type of relationship, if any, exists. For each of the following problems compute the correlation coefficient r, r2, (show the intermediary steps) and summarize/explain the results. PROBLEM 4: A company that manufactures small lathes is interested in establishing standards for employees. A random sample of 18 employees is selected in order to develop the standards. The data collected is below. A manager at the firm feels that assembly time is related to intelligence. She feels that employees who did well in high school (as measured by high school averages) should be able to do the job faster. Does the data support her hunch? high school average Time to assemble lathe (minutes) 50 52 62 53 65 62 68 70 71 73 73 78 75 80 79 82 80 85 82 86 83 90 90 111 94 120 94 139…arrow_forwardThe table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.5 7.1 3.4 2.6 2.8 2.6 0.7 y 13.8 11.3 9.9 6.8 6.4 6.7 6.1 4.4 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85x +4.02. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Use the equation with the values rounded to two decimal places to make your predictions. A) How many murders per 100,000 residents can be expected in a state with 6.7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 8 thousand automatic weapons? Answer= Answer = Round to 3 decimal places.arrow_forwardFor the following problems, construct a scatter plot using excel. After the plot is drawn, analyze it to determine which type of relationship, if any, exists. For each of the following problems compute the correlation coefficient r, r2, (show the intermediary steps) and summarize/explain the results. PROBLEM 3: An emergency service wishes to see whether there a relationship exists between the outside temperature and the number of emergency calls it receives. The data is shown below. Temperature x | 110 90 85 75 70 105 67 Number of calls | 20 15 10 2 1 19 1arrow_forward
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