A fitness trainer wants to estimate the effect of fitness activities on muscle mass for different weight categories of club members. They choose the most popular fitness classes at the gym: yoga, circuit training, and high-intensity interval training (HIIT). Suppose that the weights of club members are separated into three levels: under 155 pounds, 155 – 200 pounds, and over 200 pounds. Draw a flow chart showing the design of this experiment.
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A fitness trainer wants to estimate the effect of fitness activities on muscle mass for different weight categories of club members. They choose the most popular fitness classes at the gym: yoga, circuit training, and high-intensity interval training (HIIT). Suppose that the weights of club members are separated into three levels: under 155 pounds, 155 – 200 pounds, and over 200 pounds. Draw a flow chart showing the design of this experiment.
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- an attempt to develop a model of wine quality as judged by wine experts, data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 12wines, a model was created using the percentages of alcohol to predict wine quality. For those data, SR=18,671 and SST=27,382.Use this information to complete parts (a) through (c) below. Please complete part 3(B) ONLY. Question content area bottom Part 1 a. Determine the coefficient of determination, r2, and interpret its meaning. r2=0.682 (Round to three decimal places as needed.) Part 2 Interpret the meaning of r2. It means that 68.2 of the variation in wine quality can be explained by the variation in alcohol content. (Round to one decimal place as needed.) Part 3 b. Determine the standard error of the estimate. SYX= (Round to four decimal places as needed.)A medical student at a community college in city Q wants to study the factors affecting the systolic blood pressure of a person (Y). Generally, the systolic blood pressure depends on the BMI of a person (B) and the age of the person A. She wants to test whether or not the BMI has a significant effect on the systolic blood pressure, keeping the age of the person constant. For her study, she collects a random sample of 150 patients from the city and estimates the following regression function: Y= 15.50 +0.90B + 1.10A. (0.48) (0.35) The test statistic of the study the student wants to conduct (Ho: B, =0 vs. H4: B, #0), keeping other variables constant is. (Round your answer to two decimal places.) At the 5% significance level, the student will v the null hypothesis. Keeping BMI constant, she now wants test whether the age of a person (A) has no significant effect or a positive effect on the person's systolic blood pressure. So, the test statistic associated with the one-sided test the…Please help me with this. Thanks!
- Dr. Ortega took a wide sample of people and timed them running a mile. There is a lot of variability in time, with some runners taking 5 minutes and others 20 minutes or more. Analyzing this further, Dr. Ortega wants to know what factors influence running speed? She hypothesizes that physical fitness and age play important roles, as do physical health and weight. For further clarity, Dr. Ortega calculates r2 for each variable and finds that the effect size for physical fitness is 29%.Dr. Ortega took a wide sample of people and timed them running a mile. There is a lot of variability in time, with some runners taking 5 minutes and others 20 minutes or more. Analyzing this further, Dr. Ortega wants to know what factors influence running speed? She hypothesizes that physical fitness and age play important roles, as do physical health and weight. For further clarity, Dr. Ortega calculates r2 for each variable and finds that the effect size for physical fitness is 29%. In 50 words or less, explain what this means. View keyboard shortcuts EditViewInsertFormatToolsTable 12pt Paragraph Dr. Ortega took a wide sample of people and timed them running a mile. There is a lot of variability in time, with some runners taking 5 minutes and others 20 minutes or more. Analyzing this further, Dr. Ortega wants to know what factors influence running speed? She hypothesizes that physical fitness and age play important roles, as do physical…An auto manufacturing company wanted to investigate how the price of one of its car models depreciates with ages. The research department at the company took a sample of 8 cars of this model and collected information on the ages (in years) and prices (in hundreds of dollars). 6. Age Price 18 8. 3 94 50 21 145 42 36 99 Here is a scatterplot of the data. Age versus price of 8 cars 160 140 120 100 80 60 40 20 10 Age A. Is the relationship positive or negative? O positive O negative Price (in hundreds of dollars)
- The spotted lanternfly, Lycorma delicatula, is an invasive species to the United States that has the potential to do significant agricultural damage. An ecologist is studying the relationship between the size of the female spotted lanternflies and the number of eggs they produce. The data are summarized below. Length of insect: AVG = 1 inch, SD = 0.15 inchNumber of eggs: AVG = 40 eggs, SD = 5 eggsr = 0.2 Using regression, we can say that the average number of eggs produced by female spotted lanternflies who are 1.1 inch long is closest to... Group of answer choices 42 39 40 41State one possible advantage of using paired samples instead of independent samples.A psychologist believes that the age of an adolescent will have an impact on the number of phone calls made to the opposite sex (in heterosexual people) over the course of one month. They also suspect that gender of the adolescent will have an impact on the number of phone calls made to the opposite sex. Using the hypothetical data provided below, run your analyses in R to test whether age and gender impacts the number of phone calls an adolescent makes. Gender (Binary) Girl Boy Age Young Adolescents (11-14) 7, 2, 3, 5, 3 1, 2, 3, 2, 1 Older Adolescents (15-18) 15, 26, 19, 21, 18 10, 8, 5, 16, 9 ( What kind of statistical analysis do you need to use and why? State the null and alternative hypotheses. Check your assumptions. Include screenshots of your R output and explain why each of them are or are not met. Using R, run your analysis and include a screenshot. Using R, run post-hoc tests and include a screenshot. What do you…
- The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. The table contains data for beak heat loss, as a percentage of total body heat loss from all sources, at various temperatures in degrees Celsius. The data show that beak heat loss is higher at higher temperatures and that the relationship is roughly linear. [Note: The numerical values in this problem have been modified for testing purposes.] Temperature (°C) 15 16 17 18 19 20 21 22 23 24 25 26 27 Percent heat loss from beak 33 33 33 31 37 44 56 52 45 54 46 55 57The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. The table contains data for beak heat loss, as a percentage of total body heat loss from all sources, at various temperatures in degrees Celsius. The data show that beak heat loss is higher at higher temperatures and that the relationship is roughly linear. [Note: The numerical values in this problem have been modified for testing purposes.] Temperature (Co) Percent heat loss from beak 15 32 16 34 17 35 18 33 19 37 20 46 21 55 22 51 23 43 24 52 25 45 26 53 27 58 28 60 29 62 30 62 Adapted from a graph in Glenn J. Tattersall et al., "Heat exchange from the toucan bill…The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. The table contains data for beak heat loss, as a percentage of total body heat loss from all sources, at various temperatures in degrees Celsius. The data show that beak heat loss is higher at higher temperatures and that the relationship is roughly linear. [Note: The numerical values in this problem have been modified for testing purposes.] Temperature (oC)(oC) Percent heat loss from beak 1515 3434 1616 3535 1717 3333 1818 3333 1919 3535 2020 4848 2121 5454 2222 5252 2323 4545 2424 5050 2525 4444 2626 5454 2727 5959 2828 6262 2929 6464 3030 6161 Adapted from a graph in…
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