3. The STS (round to 3 decimals) is:The P-value (round to 4 decimals) is:4. The decision at a =0.01 is:O Do not reject Ho since P > aO Do not reject Ho since P < aO Reject Ho since P> aO Reject Ho since P < aThe conclusion is:O There is sufficient evidence to conclude that there is not a statistically significant linear correlationO There is insufficient evidence to conclude that there is a statistically significant linear correlationO There is insufficient evidence to conclude that there is not a statistically significant linearcorrelationO There is sufficient evidence to conclude that there is a statistically significant linear correlationMacBook Air • Question 16>In soccer, it seems reasonable to assume that the more shots a team takes, the more goals they will score.A random sample of 25 soccer matches found that the linear correlation coefficient between shots takenand goals scored was 0.3.Does this result suggest that the correlation is statistically significant? Use a = 0.01.1. Select the correct statement:O If the correlation is found to be statistically significant, that means that changes in x cause changesin yO Even if the correlation is found to be statistically significant, that does not necessarily mean thatchanges in x cause changes in yThe hypotheses are:O Ho:p = 0; Ha:p# 0O Ho:p 2 0; Ha:p < 0O Ho:r > 0; Ha:r < 0O Ho:r < 0; Ha:r > 0O Ho:p<0; Ha:p> 0O Ho:r = 0; Ha:r # 02. This is a O rightO leftO two tailed test and the distribution used isOzOTThe Degrees of Freedom areO 25O 23O 24ON/A; this is a Z-testMacBook Air20F3D00F44>F9F5F6F7F8

Answered: Image /qna-images/answer/9624243a-7b83-45ab-8fed-533b88074b7e.jpg

3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is: 4. The decision at a = 0.01 is: O Do not reject Ho since P > a O Do not reject Ho since P < a O Reject Ho since P> a Reject Ho since P< a The conclusion is: O There is sufficient evidence to conclude that there is not a statistically significant linear correlation There is insufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is not a statistically significant linear correlation O There is sufficient evidence to conclude that there is a statistically significant linear correlation

3. The STS (round to 3 decimals) is: The P-value (round to 4 decimals) is: 4. The decision at a = 0.01 is: O Do not reject Ho since P > a O Do not reject Ho since P < a O Reject Ho since P> a Reject Ho since P< a The conclusion is: O There is sufficient evidence to conclude that there is not a statistically significant linear correlation There is insufficient evidence to conclude that there is a statistically significant linear correlation O There is insufficient evidence to conclude that there is not a statistically significant linear correlation O There is sufficient evidence to conclude that there is a statistically significant 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

See similar textbooks

Similar questions

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 12 randomly selected games are shown below: Atte dance 110126110 37125127154 45 541351 24 157 Kuns Round to 2 decimal places. a. Find the correlation coefficient r = b the null and alternative hypotheses for correlation are: (Round to four decimal places) The p-value is: c Use a level of signficance of a 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 insignificant evidence to conclude that there is a correlation benıreen the attendance of baseball games and the runs scored. Thus the use of the regression line is not appropriate ·T1ere is statistically significant er i ence to conclude that there is correlation…
Use the given data set to complete parts (a). (Use α=0.05.) a. Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= (Round to three decimal places as needed.)
2
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
In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information. x 0.243 0.245 0.286 0.263 0.268 0.339 0.299 y 1.0 3.3 5.5 3.8 3.5 7.3 5.0 A) Compute r. (Round your answer to three decimal places.) B) As x increases, does the value of r imply that y should tend to increase or decrease? Explain your answer.
A random sample of ten professional athletes produced the following data. The first row is the number of endorsements the athlete has and the second row is the amount of money made (in millions of dollars) by the athlete.   Is the linear correlation coefficient significant? Set up the appropriate hypothesis to test the significance. Number of Endorsements 0 3 2 1 5 5 4 3 0 4 Profit (in Millions) 2 8 7 3 13 12 9 9 3 10 Group of answer choices H0: r = 0 and Ha: r ≠ 0 H0: r ≠ 0 and Ha: r = 0 H0: ρ = 0 and Ha: ρ ≠ 0 H0: ρ ≠ 0 and Ha: ρ = 0
HELP ASAP.
In baseball, is there a linear correlation between batting average and home run percentage? Let x represent the batting average of a professional baseball player, and let y represent the player's home run percentage (number of home runs per 100 times at bat). A random sample of n = 7 professional baseball players gave the following information. x0.241 0.263 3.8 0.261 0.286 0.268 3.5 0.339 0.299 y 1.1 3.3 5.5 7.3 5.0 (a) Make a scatter diagram of the data. Graph Layers After you add an object to the graph you can use Graph Layers to view and edit its properties. WebAssign. Graphing Too (b) Use a calculator to verify that Ex = 1.957, Ex2 = 0.553, Ey = 29.5, Ey2 = 147.33 and Exy = 8.607. Compute r. (Round your answer to three decimal places.) As x increases, does the value of r imply that y should tend to increase or decrease? Explain your answer. O Given our value of r, y should tend to decrease as x increases. O Given our value of r, y should tend to remain constant as x increases.…