The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is asignificant linear correlation between the data? Use a = 0.05.Hours, xTest score, y124456.837445056616873738293: Click here to view a table of critical values for Student's t-distribution.Setup the hypothesis for the test.Ho:p = 0Haip Ź 0Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice.(Round to three decimal places as needed.)O A. The critical values are - to =and to =O B. The critical value is

Given n=10 Hypothesis Ho: ρ=0 vs H1: ρ≠0 (two tailed). Level of significance ɑ=0.05

Answered: The number of hours 10 students spent…

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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need help with everything from test statistic and onward. Thx!
For the X and Y, data below, compute the Pearson correlation. Also, perform a hypothesis test to determine if it is significantly different from zero or not. What is the test significance (i.e., p-value)? Please round your answers to the fourth decimal place. X Y 2 Test Significance 5 Pearson Correlation 4 6 4 7 5 11 6 12
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Research was conducted on the amount of training for 5K and the time a contestant took to run the race. The researcher recorded the number of miles during training ( a 1 month period) and the time to complete the 5K. The results are below. Miles Trained 45 77 37 25 60 64 Time (Minutes) 32.9 28 36.2 27.5 19.5 18.3 a) Give the correlation coefficient. r = b) Give the equation of the regression line. Round the values to 4 deimal places.This is in the form y = ax + b, so the slope goes in the first box and the y-inercept in the 2nd box.y = x + c) Interpret the y-intercept (Explain it's meaning, do not just give its value.)d) Predict the time in the 5K if someone trained 37 miles.Use the rounded values entered for the slope and intercept of the regression line to compute the predicted y-value.y = e) Give the residual for 37 miles trained.This is the actual y value for the runner who trained for miles minus the predicted value.Residual=
Using technology, what is the correlation coefficient? The weight (in pounds) and height (in inches) for a child were measured every few months over a two-year period. The results are given in the table. O -0.997 O -0.503 Weight (x) 8. 12 18 24 30 32 35 37 40 O 0.503 Height (y) 22 23 26 30 32 33 5 36 38 O 0.997
The data below are the final scores of 10 randomly selected statistics students and the number of hours they studied for the final. What is the best-predicted value for y given x = 6? Assume that the variables x and y have a significant correlation. hours x: 3,5,2,8,2,4,4,5,6,3 scores y: 65,80,60,88,66,78,85,90,90,71 A.84 B.86 C.85 D.87
A violin student records the number of hours they spend practicing during each of ten consecutive weeks. 2.5 3.5 3 2.4 What is the first quartile for this data? 3.6 7 8.1 5.4 7 4.1 8.6
We give the total variation, the unexplained variation (SSE), and the least squares point estimate b1 . Total variation = 13.459; SSE = 2.806; b1 = 2.6652 Click here for the Excel Data File Using the information given, find the explained variation, the simple coefficient of determination (r2), and the simple correlation coefficient (r). Interpret r2. (Round your answers to 3 decimal places. Round your percent to 1 decimal place.) Explained variation r2 r % of the variation in demand can be explained by variation in price differential.
Fill in the blanks. a. Positive correlations between observations of the response variable result in an underestimate of ________. b. Data collected from a designed experiment is generally preferable to data obtained from ________. c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an _________.
Here is a scatter plot for a set of bivariate data. Q What would you estimate the correlation coefficient to be? -0.9 -0.60 0.6 0.9 O Video Question Help: Submit Question
Use Excel to perform ANOVA on your data. After performing ANOVA, screenshot the table where the p-value is found. Are you going to accept or reject your hypothesis? Why or why not.

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