Use the chi-square contingency analysis to test to determine whether variable 1 is independent of variable 2. Use 5% level ofsignificance.Variable1Variable 215 23 208 17 20711 18(Round the intermediate values to 2 decimal places. Round your answer to 3 decimal places.)Observed x² =Variable 1 is✓of Variable 2.Appendix A Statistical Tables

The contingency table shows the variable 1 and variable 2.

Answered: Use the chi-square contingency analysis…

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 2 20 21 4 36 E 27 3 25 G 2 19 20 23 J 45 K 6. 49 L 40 M 26 N 2. 40 34 Ex- ТОTAL Y = = What is the linear regression equation?
MULTIPLE CHOICE 1. A statistical technique that enables you to obtain a linear equation that relates dependent variable with the independent variable is called 2. Which of the following is not true about scatter plot? A. It is visual tool that can help in analyzing the relationship between two variables in bivariate data B. Itis a graph that shows the point (a) plotted in the wplane that corresponds to the recorded values in data C. The independent variable is associated with the x-axis and the dependent variable is associated with the y axis D. Scatter plots are the most inefficient form of graphing bivariate data
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?
You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 65 27 34 27 76 24 55 34 71 21 49 24 34 36 27 19 Ho: ρ = 0Ha: ρ ≠ 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Less than (or equal to) αα Greater than αα The p-value leads to a decision to Reject Ho Accept Ho Do Not Reject Ho The conclusion is There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a…
Exhibit 9-5 n = 16 HO: u z 80 x = 75.607 Hạ: u < 80 o = 8.246 Assume the population is normally distributed. 3. Refer to Exhibit 9-5. The test statistic equals .53 -2.131 -.53 2.131
Which of the following refers to the variable that is being manipulated during an experiment? Independent variable Descriptive variable Constant Dependent variable
Please answer this question CORRECTLY!
Which of the following must be entries from the original data set? the mode the range the third quartile the median the maximum
he data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 51 inches. Is the result close to the actual weight of 4 punds? Use a significance level of 0.05. thest size (inches) Veight (pounds) Click the icon to view the critical values of the Pearson correlation coefficient r. 45 43 43 52 52 352 374 275 314 440 367 Critical Values of the Pearson Correlation Coefficient r What is the regression equation? Critical Values of the Pearson Correlation Coefficient r a = 0.05 NOTE: To test Ho: p=0 against H, p#0, reject Ho if the absolute value of r is greater than the critical value in the table. y%3= x (Round to one decimal place as needed.) a = 0.01 4 0.950 0.990 0.878 0.959 0.811 0.917 0.754 0.875 8. 0.707 0.834 9. 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576 0.708 13 0.553 0.684 14 0.532 0.661 15 0.514 0.641 16 0.497 0.623 17 0.606 0.590…
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.
I need help with questions 1 and 2
Given the information provided, need help describing the type of association between Area and SpineL. Thank you :)

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