Solve the empty blankes. Critical Values for Correlation Coefficient n 30.99740.95050.87860.81170.75480.70790.666100.632110.602120.576130.553140.532150.514160.497170.482180.468190.456200.444210.433220.423230.413240.404250.396260.388270.381280.374290.367300.361n Researchers wondered whether the size of a person'sbrain was related to the individual's mental capacity. Theyselected a sample of 5 females and 5 males andmeasured their MRI image pixel counts and IQ scores.The data is reported to the right. Complete parts (a)through (d) below.Click the icon to view the critical values table.FemalesThe linear correlation coefficient for females is 0.533.The linear correlation coefficient for males is 0.477.(Round to three decimal places as needed.)Are MRI count and IQ linearly related?MalesMRIIQIQMRI949,395 140852,244 132833,868 132 955,466 133857,782 133955,003 139790,619 135 965,353 133137 1,079,550 141951,545(d) Compute the linear correlation coefficient between MRI count and IQ for females. Compute the linearcorrelation coefficient between MRI count and IQ for males.0Because the correlation coefficient for females is0.533, isand the absolute value of this correlation coefficient,than 0.477, the critical value for the female data set,between MRI count and IQ for females. Because the correlation coefficient for males isabsolute value of this correlation coefficient, isrelation existsand thethan the critical value for the male data set,relation exists between MRI count and IQ for males.(Round to three decimal places as needed.)

Let, x denotes MRI and y denotes IQ for males and females.Then, the dataset for male and female is…

Answered: (d) Compute the linear correlation…

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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n
3	0.997
4	0.950
5	0.878
6	0.811
7	0.754
8	0.707
9	0.666
10	0.632
11	0.602
12	0.576
13	0.553
14	0.532
15	0.514
16	0.497
17	0.482
18	0.468
19	0.456
20	0.444
21	0.433
22	0.423
23	0.413
24	0.404
25	0.396
26	0.388
27	0.381
28	0.374
29	0.367
30	0.361
n

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2. Which of the following values cannot be a correlation coefficient? Group of answer choices -.274 1.473 -.650 .615
What is the relationship between the attendance at a major league ball game and the total number of runs scored? Attendance figures (in thousands) and the runs scored for 9 randomly selected games are shown below. Attendance 24 54 59 17 32 58 30 26 18 Runs 5 14 14 5 7 8 10 6 4 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:`H0: ` == 0`Ha:` ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically significant evidence to conclude that a game with higher attendance will have fewer runs scored than a game with lower attendance. There is statistically significant evidence to conclude that there is a correlation between the attendance of baseball games and the runs scored. Thus, the regression line is useful. There is statistically insignificant…
The amounts of 6 restaurant bills and the corresponding amounts of the tips are given in the below. Assume that bill amount is the explanatory variable and tip amount the response variable. Use RStudio to find the following. Bill 52.44 88.01 49.72 64.30 70.29 106.27 Tip 7.00 10.00 5.28 7.70 10.00 16.00 (a) Compute the correlation: r= (b) Does there appear to be a significant correlation? Answer: (c) The regression equation is y^= . For parts (d) and (e): Enter your answer in dollars: $xx.xx (d) If the amount of the bill is $90, the best prediction for the amount of the tip is . (e) According to the regression equation, for every $55 increase in the bill, the tip should increase by
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 2.4 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. Overhead Width (cm) Weight (kg) 8.5 212 7.8 7.1 9.5 9.8 7.2 161 161 259 246 161 Click the icon to view the critical values of the Pearson correlation coefficient r. The regression equation is y =+x. (Round to one decimal place as needed.)
(please solve within 15 minutes I will give thumbs up thanks)
7. A real estate agent believes that the monthly rents of houses depend on the size of the houses. A sample of seven houses is a residential area was selected and the information gathered is shown in table below. Compute the value of correlation coefficient. Interpret your finding. Monthly rent (RM '00), y Size ('00 square feet), X 12.11 10.61 16.07 9.41 15.06 17.08 9.14 14.12 8.16 12.09 14.91 7.17 16.13 11.15
A small company has five employees. The following table presents the number of years each has been employed (x) and the hourly wage in dollars (y) x (years) 0.5 1.0 1.75 2.5 3.0 y (dollars) 9.51 8.23 10.95 12.70 12.75 a. Compute x, y, s, and s. b. Compute the correlation coefficient between years of service and hourly wage.
PLEASE DO EVERYTHING IN TYPEWRITTEN FOR UPVOTES. NO UPVOTE IF YOU DIDN'T FOLLOW MY INSTRUCTION. THANK YOU
1. Compute the correlation coefficient. (Round your answer to 4 decimal places.) 2. Compute the correlation coefficient between x2 and y. (Round your answer to 4 decimal places.)
When women were finally allowed to become pilots of fighter jets, engineers needed to redesign the ejection seats because they had been originally designed for men only. The ejection seats were designed for men weighing between 140 lb and 181 lb. Weights of women are now normally distributed with a mean of 170 lb and a standard deviation of 47 lb. Complete parts (a) through (c) below. a. If 1 woman is randomly selected, find the probability that her weight is between 140 lb and 181 lb. The probability is approximately 0.3299. (Round to four decimal places as needed.) b. If 32 different women are randomly selected, find the probability that their mean weight is between 140 lb and 181 lb. The probability is approximately (Round to four decimal places as needed.)
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.
Annual high temperatures in a certain location have been tracked for several years. Let X represent the year and Y the high temperature. Based on the data shown below, calculate the correlation coefficient (to three decimal places) between X and Y. Use your calculator! x2345678910111213141516 y8.569.7414.2216.418.6821.6624.3423.6227.230.9833.4634.4437.924140.08 r=

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