You are conducting a test of independence for the claim that there is an association between row variable and the column variable. x Y Z A 30 50 2 B 52 46 22 The expected observations for this table would be Y A В The resulting Pearson residuals are: Y А В What is the chi-square test-statistic for this data? x² =

You are conducting a test of independence for the claim that there is an association between row variable and the column variable. x Y Z A 30 50 2 B 52 46 22 The expected observations for this table would be Y A В The resulting Pearson residuals are: Y А В What is the chi-square test-statistic for this data? x² =

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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It is evaluated that there is a relationship between working experience in the business (X) and the number of daily errors (Y). Data are given below. What is the Regression Mean Square of Departure (RAKO) in the validity of the regression model?
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Please give answers of b&c
1. Correlation analysis is used to determine the equation of the regression line b. a specific value of the dependent variable for a given value of the independent variable the strength of the relationship between the dependent and the independent variables d. a. с. None of these alternatives is correct.
The following sample contains the scores of 6 students selected at random in Mathematics and English. Use the scores in English as the dependent variable Y. Mathematics score (X) 70 92 80 74 65 83 English score (Y) 74 84 63 87 78 90 ∑x=464, ∑y=476,∑x^2=36354,∑y^2=38254, ∑xy=36926. Estimate the regression parameters and also write the prediction equation.
Consider the following data on y = number of songs stored on an MP3 player and x = number of months the user has owned the MP3 player for a sample of 15 owners of MP3 players. x y 22 485 34 748 2 81 28 581 5 117 32 728 23 445 10 128 4 61 26 476 1 35 8 121 13 266 9 126 5 141 What is the equation of the estimated regression line? (Round your numerical values to four decimal places.) y = Is the simple linear regression model useful for describing the relationship between x and y? Test the relevant hypotheses using a significance level of 0.05. Calculate the test statistic. (Round your answer to two decimal places.) t = find the P-value for this test? (Round your answer to four decimal places.) P-value=
The following data give the family size (2) and number of pets per family (y) for a random sample of 10 families. 4. 2 6. 3. 0. 4. 9. 10 Create a scatterplot for the data. y 10 6. 7- 4 1 2 3 4 5 6 7 8 9 10 11 Clear All Draw: Determine the least squares regression line for the data. Round values to four decimal places, if necessary. Determine the correlation coefficent. Round the solution to four decimal places, if necessary. Use the model to predict the number of pets owned by a family with 13 members. Round the solution to the nearest whole number. 5. 5. 2. 3. 3.
Suppose a doctor measures the height, x, and head circumference, y, of 8 children and obtains the data below. The correlation coefficient is 0.858 and the least squares regression line is y = 0.228x +11.187. Complete parts (a) and (b) below. Height, x 27.5 25.75 26.5 25.5 27.25 26.25 25.75 27.25 27 27.25 27 Head Circumference, y 17.4 17.2 17.2 16.9 17.6 17.1 17.1 17.4 17.4 17.3 17.3 (a) Compute the coefficient of determination, R². R² =% (Round to one decimal place as needed.) (b) Interpret the coefficient of determination and comment on the adequacy of the linear model. Approximately % of the variation in (Round to one decimal place as needed.) is explained by the least-squares regression model. According to the residual plot, the linear model appears to be
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In a certain type of metal test specimen, the normal stress on a specimen is known to be functionally related to the shear resistance. The following is a set of coded experimental data on the two variables: Normal Stress, x Shear Resistance, y 16 5 6. 12 8 9 4 15 7 7 (a) estimate the regression line (b) estimate the shear resistance for a normal stress of 10 (c) evaluate the unbiased estimate of the variance (d) a 95% confidence interval for the mean shear resistance when x = 10; (e) a 95% prediction interval for a single predicted value of the shear resistance when x = 10. WORK THIS ENTIRE PROBLEM WITH ALL 5 PARTS ,BEFORE PROCEEDING TO THE NEXT PROBLEM WRITE EVERYTHING DOWN ON YOUR ANSWER SHEETS. As.you proceed to the other problems, you will encounter this entire problem 4 more times. Each time you will be given a chance to answer a problem part. This time select your answer to part c)
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