Ans : Given that
sample size = 9
1) Standard deviation of the independent variable X
sx = 2.7386
2) Standard deviation of the independent variable y
Sy=3.0596
3) Covariance
cov(x,y) = -6.4925
4) The Pearson correlation coefficient
rxy = -0.7757
5) To find the line of best fit line
first calculating the estimating parameter value
= -0.7757 *(3.0596/2.7386)
= -0.8666
=9.11 -(-0.8666)*6
=14.3096
The line of the best fit is y = 14.3096 - 0.8666*x
Next, we're going to see if we can predict the Kinesthetic VARK scores of Biology students based on their Visual VARK scores-we're going to use the Kinesthetic VARK scores as the response variable, and the Visual VARK scores as the predictor variable. Calculate the slope coefficient of the best fit line: 0/1pts Question 14 Calculate the intercept coefficient of the best fit line for our sample data, knowing that the mean Visual VARK score is 5.455, and the mean Kinesthetic...
67. Recently, the annual number of driver deaths per 100,000 for the selected age groups was as follows: Age Number of Driver Deaths per 100,000 16-19 38 20-24 36 25-34 24 35-54 20 55-74 18 75+ 28 Table 12.19 a For each age group, pick the midpoint of the interval for the x value. (For the 75+ group, use 80) b using ages as the independent variable and "Number of driver deaths per 100.000" as the dependent variable, make a...
Code using R or Python PLEASE ANSWER e-h the rest have been answered. We observe from our campus the temperature and count the number of squirrels. Our observations are T = [52, 52, 50, 54, 50, 52, 54, 80, 80] Sq = [8, 10, 6, 9, 6, 12, 12, 1, 0] a) What is the covariance of these vectors? (1point) -39.1358 b) What is the covariance matrix? (1point) 15.254 -4.348 -4348 1.863 c) What is the correlation coefficient? (1point) -.8158...
Please answer the following questions using the formula for a and b, thank you! Question 1: A study is conducted to examine the influence of screen time on student performance on Satis exams A class of 12 students is observed over a period of time, with the independenta le being the we amount of time per day each student spends on TV internet, and the dependent able being their subsequent Statistics eum score, in The data is shown in the...
sseument Part& Pretected Viei)Word Mailings Review View Help Tell me what you want to do Enable Editing ruses. Unless you need to edit, it's safer to stay in Protected View 1. Two variables have a strong negative correlation. Which of the following statements is not true? a. the dependent variable decreases as the independent variable increases b. the trend of the data exhibits an irregular decline c. the line of best fit has a negative slope d. most data points...
Attempts: Average: 9 3. The bivariate probability distribution Aa Aa im is saving to buy his significant other a diamond necklace for Valentine's Day. Jim works two jobs, a day job at a grocery store and a night job at a restaurant. Jim's monthly income at each job can take on one of three values because his hours worked at each job only assume three values. Define x as Jim's monthly income from his day job and y as Jim's...
1. In regression analysis, the Sum of Squares Total (SST) is a. The total variation of the dependent variable b. The total variation of the independent variable c. The variation of the dependent variable that is explained by the regression line d. The variation of the dependent variable that is unexplained by the regression line Question 2 In regression analysis, the Sum of Squares Regression (SSR) is A. The total variation of the dependent variable B. The total variation of the independent variable...
Please i need final report on this program. thanks % Preparation of Data tempApril1969 = [36.5 51.5 41.5 47.5 56 50.5 54.5 55 51 61 54 48 50 54 57.5 57.5 64 57 50.5 47.5 47 50.5 52 48 56 65.5 63.5 72 61 54.5]; % temperature data of April, 1969 (shape = 1x30) tempApril2019 = [39.5 43.5 54 51.5 42 52.5 55 63 46.5 51 46 55.5 66.5 63 53.5 54 54 56.5 65.5 58.5 57.5 54.5 64.5 61...
part 1 is done need help with part 2 please Regression and Correlation Part 1 -Hypothesis test for u a) Use the data provided Perform a complete hypothesis test (show all steps) of Ho: 4 = 42 Use a -.05 Word your conclusion clearly in plain English so that a 14-year-old would understand it. For this part of the assignment, we'll look to see if there's an association between the responses of your two numerical questions PART 2 - Regression...
please answer all question (2-5) thanks Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...