14. 5 students were asked to record their GPA from High School and College. The results are below:Student HS GPA College GPAABCD2E3.833.14.02.53.32.82.2Sum=3.51.9Sample x-H.S. GPA12.5a. Find the correlation coefficient r by filling in the following chart and using the formula:y-College GPASum=Sum=Sum=Sum=xy b. Find the line of best fit, by using the above information, and the formula.c. Use the line of best fit to predict a student's GPA if her High school GPA is a 2.75.

StudentsHS GPACollege GPAA3.82.8B3.12.2C4.03.5D2.51.9E3.32.5

Answered: 14. 5 students were asked to record…

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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Weight (lbs.) 173 184 194 214 168 220 188 188 207 167 217 Systolic Blood Pressure 132 143 153 162 154 168 137 149 159 128 1 1. The sample correlation coefficient is _____________
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A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below. Seeds Produced 68 56 61 Sprout Percent 60.6 69.2 = 0 48 64.7 64.6 #0 a. Find the correlation coefficient: b. The null and alternative hypotheses for correlation are: H₂: ? H₁: 2 The p-value is: 63 64.1 40 Round to 2 decimal places. 63 62 65.1 68.4 84 (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that a plant that produces more seeds will have seeds with a lower sprout rate than a plant that produces fewer seeds. O There is statistically significant…
Match each scatterplot shown below with one of the four specified correlation coefficients. O 00 800 000 Q a. -0.27 b. 0.22 c. 0.68 d. -0.79
The following zero order correlation coefficients are given : r12 = 0.5 r13 = 0.6 r23 =.7 %3D Calculate the multiple correlation coefficients R1,23, R2.13 and R3.12
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Many universities use a student's ACT score to help with admission decisions as well as placement decisions. ACT Score Answer How to enter your answer (opens in new window) GPA 20 22 24 26 28 30 32 1.5 2 2.5 3 3.5 5.5 1 Step 1 of 3: Calculate the correlation coefficient, r. Round your answer to six decimal places. Copy Data Tables Keypad Keyboard Shortcuts
choose the correct answer Given the following X and Y variables. Determine the Pearson-r correlation value. (photo) a. 0.412 b. - 0.785 c. 0.248 d. - 0.293 What is the range of the given data set: 25, 19, 30, 12, 45, 11, 32, 49, 23, 36, 34 ? a. 49 b. 26 c. 38 d. 44 Thank you!!!
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Suppose we measure the heights (in inches) and weights (in pounds) of 100 randomly chosen college students. Furthermore suppose we calculate the correlation to be 0.6. If we change the measurements to centimeters and kilograms, what happens to the value of the correlation? Note: There are 2.54 centimeters in an inch, and there are 2.2 pounds in a kilogram. Group of answer choices: A. The correlation increases by a factor of 2.54/2.2 B. The correlation is still 0.6. C. The correlation decreases by a factor of 2.2. D. The correlation increases by a factor of 2.54.
Five students provided data regarding the number of hours they spent on studying (TimeStudy) and their GPA. The data are as follows. Answer the following questions. TimeStudy GPA Student 1 2.00 3.50 Student 2 4.00 3.70 Student 3 5.00 3.30 Student 4 3.00 2.60 Student 5 4.00 3.40 a) According to the SPSS table, what can you conclude regarding the correlation between TimeStudy and GPA? Report the conclusions in proper formats. b) By fitting a linear regression line to represent the relationship between TimeStudy and GPA, the regression line function is ??? = ?. ?? + ?. ?? × ?????????. See the figure Calculate (by hand) the SSresidual.

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