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Draw a graph that has the given adjacency matrix
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- Figure 2 shows the results of the Tukey test to test pairwise differences at the significance level 0.05 for the additive model using design and region with regards to their impact on the survey responses. Figure 2. (1st Image uploaded below) Tukey test results showing pairwise factor level comparison with regards to impact on the survey responses. P adj shows the p value for each pairwise level comparison. P values with 0.0000000 indicate that the p value is < 0.00000001. Considering a significance level of alpha = 0.05, select the correct statement below. A.) For region, all pairwise Region levels differ from each other significantly with regards to survey responses. B.) For design, all pairwise Design levels differ from each other significantly with regards to survey responses. C.) The average survey response using Design 3 is 175.58 higher than the average survey response using Design 2. D.) Designs 1 and 3 do not differ significantly; but Design…A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05. Correlation matrix: Variables Paper Glass Раper 10.0979 Click here to view a table of critical values for the correlation coefficlent, Glass 0.0979 1 Determine the null and alternative hypotheses. Ho p H p (Type integers or decimals. Do not round.) Identify the test statistic, r. =| |(Round to three decimal places as needed.)A set of data with a correlation coefficient of -0.55 has a a) moderate negative linear correlation b) weak negative linear correlation Oc) strong negative linear correlation d) little or no linear correlation
- Table of critical values shown to the right. Is there sufficient evidence to A data set includes weights of garbage discarded in one week from 62 different hou support the claim that there is a linear correlation between weights of discarded pa Correlation matrix: Variables Paper Glass Click here to view a table of critical values for the correlation coefficient. |Раper 10.3890 Glass 0.3890 1 a = .05 a = 01 4 .950 .990 .878 .959 Determine the null and alternative hypotheses. 6 .811 .917 7 .754 .875 Ho: P 8. .707 .834 9. .666 .798 (Type integers or decimals. Do not round.) 10 .632 .765 11 .602 .735 Identify the test statistic, r. 12 .576 .708 13 .553 .684 r = (Round to three decimal places as needed.) 14 .532 .661 15 .514 .641 Identify the critical value(s). (Round to three decimal places as needed.) 16 .497 .623 17 .482 .606 O A. There is one critical value at r= 18 .468 .590 19 .456 .575 B. There are two critical values at r = ± 20 .444 .561 25 .396 .505 State the conclusion. 30 .361…1) A researcher wants to know whether the number of hours students spent on social networking sites (e.g., Facebook, Instagram) is correlated with how long they study for final exams. The researchers asks 5 students at UCI to report their scores on these two continuous variables: Time on Social Networking Sites Time Spent Studying for Finals (hours) 2 5 7 3 9 (hours) 10 5 4 8 2 a) Create a scatter diagram for this correlation with Time on Social Networking Sites along the x-axis. b) Describe the pattern of the data points in terms of the strength and direction of the correlation.Discuss the relative advantages and disadvantages of using the correlated groups and independent groups designs. Assume whichever design is used, the data will be analyzed with the appropriate t test.
- 1. If the coeficient of correlation (7) between two variables is zero, how might a scatter diagram of these variable appear? a. Random points b. A least squares line that slopes up to the right CA least squares line that slopes down to the right d. Under this condition, a scatter diagram could not be plotted on a graph.Is the direction of the difference in the number of anagrams solved between the two groups consistent with theory of helplessness?A study is conducted to investigate the association between income level and political party affiliation in the USA. Income level has 5 levels: Lowest (lowest 20-th percentile), low, middle, high, and very high (top 20-th percentile). Political party has 3 categories: Democratic (D), Independent (I), and Republican (R). A baseline category logit multinomial is fit on the 3 response categories using covariate of income level as ordinal (with scores 1, 2, 3, 4, and 5 for the categories lowest, low, middle, high and very high respectively). Base category of response is Independent. The fitted model is log(ˆπD/πˆI ) = 3.3 − 0.2x and log(ˆπR/πˆI ) = 1.0 + 0.3x, where x=1,2,3,4,5 (poverty levels as numeric/ordinal), πD is the probability of being Democrat, πI is the probability of being Independent, and πR is the probability of being Republican. a. Comparing the chances/probability of being Republican to Independent, interpret the effect of income level increases on the odds (of being…
