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- A scientist wants to develop a model to describe the relationship between the average daily temperature, x °C, and her household’s daily energy consumption, y kWh, in winter. A random sample of the average daily temperature and her household’s daily energy consumption are taken from 10 winter days and shown in the table. x -0.4 -0.2 0.3 0.8 1.1 1.4 1.8 2.1 2.5 2.6 y 28 30 26 25 26 27 26 24 22 21 You may use: Sy=255 Sxy=283.8 Syy= 64.5 Find a value for the product moment correlation coefficient r for this data Explain what the value of the product moment corelation tells you about the relationship between daily temperature and the household energy consumption.Statistics - Regression AnalysisStatistics students in Oxnard College sampled 10 textbooks in the Condor bookstore, and recorded number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (x ) Cost(y ) 989 128.68 952 135.24 973 137.76 565 70.8 304 51.48 392 57.04 303 56.36 498 61.76 480 70.6 209 41.08 A student calculates a linear modely = x + . (Please show your answers to two decimal places)Use the model above to estimate the cost when number of pages is 432 Cost = $ (Please show your answer to 2 decimal places.)
- Statistics students in Oxnard College sampled 9 textbooks in the Condor bookstore, and recorded number of pages in each textbook and its cost. The bivariate data is shown below, Number of Pages (x) Cost(y) 615 34.9 314 32.84 599 357 31.94 32,42 860 58.6 973 64.38 679 51.74 250 748 24 51.88 A student calculates a linear model (Please show your answers to two decimal places) Use the model above to estimate the cost when number of pages is 520 Cost = S (Please show your answer to 2 decimal places.) Question Help: Message instructor Submit QuestionAPPLIED GENERAL STATISTICS: THEORY AND METHODS The data is given below: Class 3 1. 8. 5 4 5 2 attendance Academic 51 28 49 60 32 47 40 39 35 42 performance C. Required: i. Identify the key variables in the study Ydt naviD S Classify the variables into dependent and independent State the nature of the variables iv. State the simple linear regression model that can capture the study ( prob abitistic prodel ) V. Use the method of the ordinary least squares to estimate the regression coefficients and interpret your ii. ii. sbbLobusr result vi. Coub Use the fitted equation to predict the value of the dependent variable when the independent is 30 vii. State three factors that can be captured by the error term * viii. Assess the adequacy of the fittèd regression model using the ANOVA method (Global F-test) assume ɑ = 5% ix. Estimate the standard error of the slope and the Shot on S11 lite intercent Gionee Dual Camera 6Which below describes an interaction between 2 variables? a. the effect of one independent variable depends on the levels of the second variable b. both variables are equally influenced by a third factor c. the two variables are differentially affected by a third variable d. both variables produce a change in the subjects' scores
- Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses. The data set is below. They predict that they will find a difference between in-class GPA and online GPA for the same students. Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test? (Round to 2 decimal places.)Hypothesis Testing Question Option #2: 2. Is there a statistically significant difference between Idaho and Montana in terms of the proportion of the adult population that has been vaccinated for COVID-19? The proportion of citizens from each state that have reported being fully vaccinated is below. Results are from representative samples. Use the five step model and write a sentence or two interpreting your results (use p= .01, Z(critical) = ± 2.58). Idaho Montana Ps1 = .42 Ps2 = .49 N1 = 425 N2 = 281Plzz explain.
- Carbon dioxide is produced by burning fossil fuels such as oil and natural gas, and has been connected to global warming. The following output presents the average amounts (in metric tons) of carbon dioxide emissions for the years 1999-2006 per person in the United States and per person in the rest of the world in an effort to determine if non-US per person emissions can help predict US per person emissions. US 20.2 20 19.8 SUMMARY OUTPUT 19.6 19.4 Regression Statistics Multiple R 0.51622776 19.2 R Square 0.2664911 19 Adjusted R Square Standard Error 0.2175905 18.8 0.29668345 Observations 17 18.6 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 39 ANOVA df MS F iignificance F Regression 1 0.479683973 0.479684 5.44965 0.0338864 Residual 15 1.320316027 0.088021 Total 16 1.8 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 22.8013544 1.416019771 16.10243 7.16-11 19.78318 25.819529 19.7831797 25.8195291 Non-US -0.95936795 0.410961292 -2.33445 0.033886…Regression The data below are claimed to relate to four experiments, which were conducted with the objective of investigating the effect of the value of a variable x on the associated value of a variable y. In each experiment the same values of x were used: thus only one column of x- values is given, while there are four columns of y-values, one for each experiment. X y1 32 y3 y4 10.0 21-26 22.40 20-70 22.94 8.0 20-57 21-84 20-43 19-85 13.0 20-15 21-35 25-31 19.65 9.0 22-28 22.15 20-56 20-25 11-0 21.36 22-27 20-80 22-38 14.0 22.30 20-43 21.19 23-84 6.0 21-35 20-25 20-21 20-55 4.0 18.81 17-66 19.90 19.53 12-0 7-0 5.0 23-63 21.90 20-95 21.55 18.73 21.15 20-31 19.72 20-01 19-05 20-09 20-19 For each set of data: (i) obtain the equation of the least squares regression line of y on x; (ii) plot the data, and comment on the results.step%3null QUESTION 6 Public relation companies conducted two surveys about deodorants. The first survey asked a random sample of 500 men about their use of a natural deodorant. A second survey asked the same questions to a random sample of 550 women. In these two studies, 68% of men and 44% of women stated they were dissatisfied with the effectiveness of natural deodorants. Use these results to answer the following questions about the proportion of men and women's satisfaction with natural deodorants. (Round to the nearest whole person as needed). Is there a statistically significant difference between men and women's satisfaction with natural deodorants? Yes, the proportion of men that are satisfied with natural deodorants is significantly less than the proportion of women that are satisfied with natural deodorants because both the lower limit and the upper limit of the confidence interval are positive values. Yes, the proportion of men that are satisfied with natural deodorants is…