3) In a large introductory sociology course, a professor gives two exams. The professor wants to determine whether the scores studentsreceive on the second exam are correlated with their scores on the first exam. To make the calculations easier, a sample of eight students isselected. Their scores are shown in the table below.StudentExam 1Exam 2160607510070804.726854738397808586590a) Can you claim that a linear relationship exists between scores on the two exams?b) How well does the relationship account for the scores on exam 2?

The independent variable is Exam 1. The dependent variable is Exam 2. This is simple linear…

Answered: 3) In a large introductory sociology…

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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3. The speed (in miles per hour) of 8 vehicles and their braking distance (in feet) when stopping on a dry surface speed, x braking distance, y 20 30 40 50 50 60 65 70 55 72 75 110 138 162 193 225 type of correlation: Conclusion
Please answer e,f,g based on the given question.
1. The table below gives the number of hours a student spent studying for a test and their grade. a.) Draw a scatter plot of the data. Hours Spent Studying 3 2 2 5 1 0.5 4 3 Grade on Exam 84 77 92 70 60 90 75 b.) Draw the best fit line through the points (5,92) and (1, 70). Grade on Exam 90 80 70 60 c.) Is the correlation positive, negative, or none? f.) Write the equation of the best fit line. 50 d.) Find the slope of the best fit line: (5, 92) & (1,70) (round to one decimal) 0 2 4 6 8 10 Hours Spent Studying e.) What does the slope mean? T1-04 Plus TEXAS g.) Predict the grade for a student who studied for 2.5 hours. Is this an extrapolation or interpolation?
12. MS. Pettipiece wants to see if there is correlation between the students overall Data mark (in percent) in his class and the Grade 11 math mark (in percent). The following data was collected and graphed/ Scatter Plot Collection 1 Collection 1 100 Grade11 Data 90- 67 71 60 79 80- 80 93 :- 70- 69 72 74 66 60- 9. 86 79 50 7 86 89 40 78 67 90 91 55 60 65 70 75 80 85 90 95 Grade11 10 63 70 201 10- 11 72 63 12 76 0- 13 70 75 -10- 14 84 86 -20 15 55 43 55 60 65 70 75 80 85 90 95 Grade11 - Data = 0.866Grade11 + 11: r= 0.50 Discuss the correlation between the Data mark and the Grade 11 mark. Make sure to reference the coefficients of correlation and/or determination in your discussion. Residual Data
Two separate tests are designed to measure a student's ability to solve problems. Several students are randomly selected to take both tests and the results are shown below. Test A (x) 43 65 73 34 99 78 65 Test B (y) 39 60 62 20 85 70 54 1. Calculate r, the linear correlation coefficient. Identify the values for each part below. Part a. The value of n Part b. The sum of the x-values Part c. The sum of the y-values Part d. The sum of the x-squared values Part e. The sum of the y-squared values Part f. The sum of the (xy) values Part g. The final value of r rounded top three decimal places
1. A dietetics student wanted to look at the relationship between calcium intake and knowledge about calcium in sports science students. Table 1 shows the data she collected. Knowledge Respond ent Calcium intake Respond ent Knowledge Calcium intake score score (Out of 50) number (mg/day) number (Out of 50) (mg/day) 1 10 450 11 38 940 2 42 1050 12 25 733 3 38 900 13 48 985 4 15 525 14 28 763 5 22 710 15 22 583 6 32 854 16 45 850 7 40 800 17 18 798 8 14 493 18 24 754 9 26 730 19 30 805 10 32 894 20 43 1085 Is there a relationship between calcium intake and knowledge about calcium in sports science students?
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3. If there is a linear, strong, and positive relationship between the scores on two tests, we should conclude that A. Scoring high on one test causes an individual to score high on the other test. B. high scores on one test are associated with low scores on the other test. C. as one test score goes down, the other test score goes up. D. low scores on one test are associated with low scores on the other test. E. the value of r must be close to 0.
Dr. Erie, a researcher at the Moore County Botany Institute, reported the following correlations. The correlation between pH level of soil and tomato weight is r₁ = -0.4. The correlation between hours of sunlight and tomato weight is r2 = 0.1. According to this information, which of the following statements are true? Select all that apply. Larger tomatoes result from more daily hours of sunlight. Larger tomatoes result from higher soil pH level. Tomato size is related more strongly to hours of sunlight than to soil pH level. None of these are true.

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