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 a significant linear correlationbetween the data? Use a=0.01.Hours, xTest score, yClick here to view a table of critical values for Student's t-distribution.04312 4 4 5 541 53 48 60 66 72Setup the hypothesis for the test.Ho: P0HP YOCalculate the test statistic.ThereIdentify 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.)OA. The critical values are -to = and to =OB. The critical value ist= (Round to three decimal places as needed.)What is your conclusion?6827 880 95enough evidence at the 1% level of significance to conclude that therea significant linear correlation between hours spent studying and test score.

Here, there are 10 pairs of observations. Thus, n=10.Consider the following preliminary…

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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A teacher is interested to know whether the average number of hours spent by the students in watching educational YouTube videos has a significant relationship with their performance during the final term examination. He surveyed a group of students on his class and tabulated the result. Use 0.05 level of significance. Student Number of Hours (X) Exam Scores (Y) A 4 36 B 2 20 3 21 D 4. 36 E 27 3 25 2 19 H 1 20 5 23 J 4. 45 K 49 40 M 5 26 N 2 40 3 34 ТOTAL X = = What is the value of the slope?
First Paired Data Set 4 10 13 11 19 21 36. Use the First Paired Data Set. Find the correlation coefficient r. A. 0.862 B. 0.943 C. 0.725 D. 0.607
Assume that you have paired values consisting of heights (in inches) and weights (in lb) from 40 randomly selected men. The linear correlation coefficient r is 0.567. Find the value of the coefficient of determination. What practical information does the coefficient of determination provide? Question content area bottom Part 1 Choose the correct answer below. A. The coefficient of determination is 0.321. 32.1% of the variation is explained by the linear correlation, and 67.9% is explained by other factors. B. The coefficient of determination is 0.679. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. C. The coefficient of determination is 0.321. 67.9% of the variation is explained by the linear correlation, and 32.1% is explained by other factors. D. The coefficient of determination is 0.679. 32.1% of the variation is explained by the linear correlation, and 67.9% is…
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
When computing the variance using a sample of size n = 30, we divide the sum of squared deviations by Give your answer as a whole number.
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 _________.
I need help with the first three parts
I need correlation coefficient , test statistic , p value & critical values pls help I need in one hour
Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate
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

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