Is there a linear relationship between the two variables? Measles Cases 44 150 62 53 208 Mumps Cases 807 436 2021 2559 357
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Measles and Mumps A researcher wishes to see if there is a relationship between the number of reported cases of measles and mumps for a recent 5-year period. Is there a linear relationship between the two variables? Measles Cases 44 150 62 53 208 Mumps Cases 807 436 2021 2559 357
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- Paragraph Styles 4. Reading is fundamental to a teenager's ability to perform well in school. Assume a researcher is interested in the ability of the number of books read over the summer to predict ACT Reading scores. Using a random sample of 10 random high school students the researchers recorded the number of books read over the summer and the students' ACT Reading scores. Books read over summer (x) ACT Reading score (y) 16 19 17 4 25 4 21 24 6. 21 8 24 27 10 22 Answer the following questions using the SPSS regression analysis OUTPUT (given below): a. From the SPSS regression analysis OUTPUT (given below), write the regression line using the number of books read to predict ACT Reading score. b. What is the predicted ACT Reading score when 5 books are read? C. Does the number of books read significantly predicts ACT at a = 0.05? State your null and alternative hypotheses. d. How much variation in y is explained by this linear regression model? D Focus a INPercentage variance and turkey HSDFill in the blanks.a. Positive correlations between observations of the response variable result in an underestimate of_______b. Data collected from a designed experiment is generally preferable to data obtained from_______c. Adata point whose removal has a substantial effect on one or more sample regression coefficients is called an_______
- Based on the hourly incomes (in US dollars) of employees in two different branches at Citibank, which set of incomes has the most variability? You do not have to calculate anything, but you can if you want to. Just take a look at the incomes and determine which set has the most variability based on the definition.Which statistical analysis is needed to address this research question: Relationship commitment will change over time. One sample t-test Two sample t-test ANOVA Paired sample t-testThe value of the ___________ is used to estimate the value of the population parameter.
- There is a strong relationship between heterosexual couples attractiveness scores. Therefore, a researcher wanted to determine if husbands attractiveness score may be predicted from their counterparts’ scores. Below are couples attractiveness ratings. Observation Wife (X) Husband (Y) 1 11 14 2 6 7 3 16 15 4 4 7 5 1 3 6 10 9 7 5 9 8 3 8 Complete the following ANOVA table Source SS DF MS F SSreg SSres SStotalTime to review: The following table presents the time taken to review articles that were submitted for publication to a particular journal during a recent year. A few articles took longer than months to review; these are omitted from the table. Consider the data to be a population. Time (Months) Number of Articles 0-0.9 40 1.0-1.9 19 2.0-2.9 15 3.0- 3.9 20 4.0-4.9 12 5.0- 5.9 11 Send data to Excel (a) Approximate the variance of the times. Round the answer to at least two decimal places. The variance is (b) Approximate the standard deviation of the times. Round the answer to at least two decimal places. The standard deviation isQuestion 24 Which statement is true about the data set 3, 4, 5, 6, 7, 7, 10? O mean = mode O mean> mode O mean = median O mean < median Previous 93
- activity(midterm lesson 5) Question 1 of 1 use the variables severity and anxiety as independent variables. Observati Severity Surg-Med Anxiety Satisfaction compute for the confidence interval on the slope of the (regression coefficient) either for the first independent variable ( l) or the 1 50 2.1 68 second independent variable (2) for the data: patient's satisfaction as well as the confidence interval on the mean response using 95% confidence 2 24 1 2.8 77 X1(age) = 20 3 46 1 3.3 96 4 48 1 4.5 80 5 58 2 43 6 60 5.1 44 7 65 1 5.5 26 & x2(severity) = 75 8 42 1. 3.2 88 9 42 3.1 75 interval when 10 50 1. 2.4 57 11 38 1 2.2 56 & 12 30 2.1 88 and also compute the prediction of the new variable using the same values of l1 l2 13 31 1.9 88 14 34 3.1 102 15 30 3 88 16 48 1. 4.2 70 17 61 1 4.6 52 18 71 1 5.3 43 19 62 7.2 46 20 38 7.8 56 21 41 1 7 59 22 66 1 6.2 26 23 31 1 4.1 52 24 42 3.5 83 25 40 1 2.1 75otected View - Saved to this PC Search View Help 12. The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. support Age More than 40 Less than 40 Support: For 145 78 223 Against 103 248 169 247 272 495 A. Use probabilities to determine if these two variable are independent or dependent P (Less than 40) 3D P(Less than 40 | For)= P(Less than 40| Against) = Are age and support for the anti-smoking law independent? (Yes independent/No = not independent) B. Conduct a hypothesis test using an alpha of .05 that these variables are iLooking for the answers and explanation to questions 1,2 and 3 below. Histogram is attached so no need to run it. Your boss asks you to gather all data regarding pounds of waste across all areas identified. You go through the store archives and find data over the past 100 weeks. The weekly pounds of waste is in the chart below (treat this as population data). She wants to know if the data is normally distributed and for you to explain process variability to her. You decide to run a histogram to visually inspect for data normality. 1.) Explain to your boss the histogram and the “shape” of the curve. 2.) Is it normally distributed? 3.) Does it appear that there is high or low variability in the waste numbers? Explain to your boss. Pounds of Wasted Food 493 521 500 461 500 523 554 499 514 508 527 505 470 523 518 479 463 483 477 478 494 494 480 522 543 472 538 502 486 508 513 486 487 478 519 481…
