File Edit Insert Format Arrange View Share●●J 125%WZoom✪Add Page2F2Wyy¶Insert TableHW4: Independent Samples Tests1. Hypothesis: Treatment (group 1) scores are different than control (group 2) scores.Data: treatment: X₁ = 23, S₁ = 4, n₁ = 35; control: X₂ = 20, S₂-7, n₂ = 32.#32. Hypothesis: The treatment (group 1) mean will be lower than the control (group 0) mean.EX1080F3N$ⓇChart Text Shape Media14154Window HelpHW4 Independent Sample Tests - EditedQCommentEqual variances assumedEqual variances notassumedGroup StatisticsQF4RMean21.6118.17Std. Deviation5.2194.613Independent Samples TestLevene's Test for Equality ofVariancesF%5.114KeStd. ErrorMeanF5Sig..738A1.3951.1916tF6t-test for Equality of Meansdf1.8801.872MacBook AirY26.024Collaborate27&7F7Sig. (2-tailed)U.071.073*8DIIFB(9Format81F9Document)B01314jarFU

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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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Suppose a doctor measures the height, x, and head circumference, y, of 11 children and obtains the data below. The correlation coefficient is 0.883 and the least squares regression line is y = 0.134x + 13.693. Complete parts (a) and (b) below. Height, x Head Circumference, y 17.4 27.75 25.25 26 25.25 27.25 26.75 26 27.25 27 27.25 26.75 17.1 17.3 17.0 17.4 17.2 17.2 17.3 17.3 17.4 17.3 ..... (a) Compute the coefficient of determination, R?. R? % (Round to one decimal place as needed.) (b) Interpret the coefficient of determination. Approximately % of the variation in is explained by the least-squares gression model. (Round to one decimal place as needed.)
Two samples with P, =.25,n, = 36 and p, = .3,n, = 49. Test if populations p, # p, at a= 0.05 level of significance. 8 %3D
10:12 AA www-awn.aleks.com O REGRESSION AND CORRELATION Linear relationship and the.. Shasia v Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. 1.0 1.0 1.0 7.0 2.0 2.0 2.0 8.9 3.0 3.0 3.0 7.4 4.0 4.0 4.0 5.4 5.0 5.0 5.0 8.5 6.0 6.0 6.0 | 5.1 7.0 7.0 7.0 4.2 8.0 8.0 8.0 | 7.1 9.0 9.0 Figure 1 10.0 10.0 9.0 6.2 Figure 2 10.0 3.8 w m |1.0 8.0 2.0 5.1 3.0 10.0 1.0 3.5 2.0 4.5 3.0 3.2 4.0 5.1 4.0 | 6.3 5.0 4.5 5.0 2.3 6.0 | 7.4 6.0 | 4.7 7.0 6.1 7.0 9.3 8.0 3.7 9.0 9.1 Figure 4 8.0 7.6 9.0 6.6 Figure 3 10.0 8.3 10.0 6.8 Answer the following questions about the relationships between pairs of variables and the values ofr, the sample correlation coefficient. The same response may be the correct answer for more than one question. 1. Which data set indicates the strongest positive linear relationship between its two variables? Choose one 2. Which data…
7. One of advantages of multiple regression is that it allows us to examine the effect of an exposure variable on the outcome variable while adjusting for no other variable in the model. A. TrueB. FalseC. None of the above 8. The particular method of analysis in a research study depends on: A. Research questionB. Study designC. Level of measurementD. All of the aboveE. A and B only 9. Reviewing relevant literature exposes the researcher to specific designs used by previous researchers. A. TrueB. FalseC. None of the above
Suppose you will perform a test to determine whether there is sufficient evidence
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econometrics
In this problem, we use your critical values table to explore the significance ofr based on different sample sizes. Critical Values for Correlation Coefficient r a = 0.05 =0.01 „A=0.05 a = 0.01 a = 0.05 a = 0.01 3. 1.00 1.00 13 0.53 0.68 23 0.41 0.53 4. 0.95 0.99 14 0.53 0.66 24 0.40 0.52 0.88 0.96 15 0.51 0.64 25 0.40 0.51 6. 0.81 0.92 16 0.50 0.61 26 0.39 0.50 0.75 0.87 17 0.48 0.61 27 0.38 0.49 8. 0.71 0.83 18 0.47 0.59 28 0.37 0.48 9. 0.67 0.80 19 0.46 0.58 29 0.37 0.47 10 0.63 0.76 20 0.44 0.56 30 0.36 0.46 11 0.60 0.73 21 0.43 0.55 12 0.58 0.71 22 0.42 0.54
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 (x) 31 22 23 33 27 21 22 19 31 16 New (y) 25 17 26 26 23 18 19 16 28 19 Find the best predicted value for the New test method given that the Old test method rating was 26. Use a significance level of 0.05.Round your answer to 1 decimal place, if needed.

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