You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 42 35 19 B 32 33 10 The expected observations for this table would be X Y Z A B What is the chi-square test-statistic for this data? (2 decimals) χ2=

You are conducting a test of independence for the claim that there is an association between the row variable and the column variable. X Y Z A 42 35 19 B 32 33 10 The expected observations for this table would be X Y Z A B What is the chi-square test-statistic for this data? (2 decimals) χ2=

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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	X	Y	Z
A	42	35	19
B	32	33	10

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answer both questions please ty 2627
J 2 for a data set of weights (pounds) And Highway fuel consumption amounts mpg of four types of automobile, the linear correlation coefficient is found in the P value is 0.009. Write a statement that interprets the P value and includes a conclusion about linear correlation. The P value indicates that the probability of a Lydia correlation coefficient that is at least as extreme is (answer)% which is (high/low) so there (is not/ is) sufficient evidence to conclude that there's a linear correlation between weight and highway fuel consumption and automobiles. (type an integer or a decimal. Do not round)
You want to examine the relationship between dropping out of high school and delinquency. You have a random sample of 11 students. You have the number of delinquent offenses that each student reported committing in the year before and after dropping out of school. The following table shows the data. Student Before dropping out After dropping out 1 5 7 2 9 5 3 2 3 4 7 7 5 8 11 6 11 13 7 8 4 8 8 10 9 5 7 10 2 1 11 9 3 From performing a hypothesis test to determine if the mean number of delinquent differs after dropping out, what is the obtained t?
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Data for fuel economy ratings in mi/gal for different cars are listed below. Each pair of data represents the rating using the Old test and the New test. Old 30 22 23 31 27 21 20 19 28 16 New 25 18 25 26 23 18 17 16 31 19 Based on the previous values you found, what can you conclude regarding the linear correlation between the Old and New test method? Since the absolute value of r is ____________ the positive critical value, there _____________ between the Old and New test method for fuel economy rating.
Research was conducted on the amount of training for 5K race and the time a contestant took to run the race. The researcher recorded the number of miles a contestant ran during the last month of training and the time it took the contestant to complete the 5K. The results are below. Miles Trained 65 78 90 91 104 112 Time (Minutes) 23 26 34 39 42 50 (a) Give the correlation coefficient. Round to one decimal place. (b) Use technology to write the regression equation that predicts the time it takes a contestant to complete the race by using the miles trained as the explanatory variable. Complete the missing parts of the equation below, rounding values to one decimal place. ý (c) Interpret the y-intercept in the context of this scenario. O Each additional mile of training reduces the time needed to complete the 5K by 0.6 minutes. A contestant who has not trained at all in the last month can expect to complete the 5K in 0.6 minutes. X O A contestant who has not trained at all in the last…
Explain these tables to me in detail
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=
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An independent variable X; is not considered highly correlated with the other independent variables if O VIF 0 R-squared > .5 VIF > 5
You may need to use the appropriate technology to answer this question. Following is a portion of the computer output for a regression analysis relating y = maintenance expense (dollars per month) to x = usage (hours per week) of a particular brand of computer termina Analysis of Variance SOURCE Regression Error Total Predictor Constant X DF Adj SS 1 1575.76 8 349.14 9 1924.90 Regression Equation Y = 6.1092 +0.8951 X O Ho: B₁ * 0 H₂: B₁ = 0 Coef SE Coef 0.9361 0.1490 (a) Write the estimated regression equation. ý =| 6.1092+ 0.8951r O Ho: B₁ 20 H₂: B₁ <0 |0 Ho: Boo Hà Bo=0 |0 Ho: Bo=0 = 0 Ha: Bo #0 6.1092 0.8951 Ho: B₁ = 0 H₂: B₁ * 0 (b) Use a t test to determine whether monthly maintenance expense (dollars per month) is related to usage (hours per week) at the 0.05 level of significance. State the null and alternative hypotheses. Adj MS 1575.76 43.64 Find the value of the test statistic. (Round your answer to two decimal places.) 36.11 X
M Wed Feb 15 Measles and Mumps The data show the number of cases of measles and mumps for a recent 5-year period. Measles Cases Mumps Cases 48 150 1797 475 70 60 203 1954 2575 370 Send data to Excel www-awu.connectmath.com The correlation coefficient for the data is r=-0.911 and a= 0.05. Should regression analysis be done? O The regression analysis should not be done. O The regression analysis should be done. Find the equation of the regression line. Round the coefficients to at least three decimal places. y' = a + bx a = b = Given a year with 185 cases of measles, predict the expected number of cases of mumps for that year. Round your answer to at least one decimal place. The number of cases of mumps for that year is 47% Submit Assignment 2023 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Cent 0