QUESTION 10 "A researcher wants to explore the relationship between sugar intake and overall feelings of energy. His sample consists of two groups, a high sugar intake group and low sugar intake group. The average age of the high sugar intake group just so happens to be much lower than the low sugar intake group. In this case, participant age isa O Independent variable O dependent variable O confounding variable O control group

QUESTION 10 "A researcher wants to explore the relationship between sugar intake and overall feelings of energy. His sample consists of two groups, a high sugar intake group and low sugar intake group. The average age of the high sugar intake group just so happens to be much lower than the low sugar intake group. In this case, participant age isa O Independent variable O dependent variable O confounding variable O control group

College Algebra

7th Edition

ISBN:9781305115545

Author:James Stewart, Lothar Redlin, Saleem Watson

Publisher:James Stewart, Lothar Redlin, Saleem Watson

Chapter1: Equations And Graphs

Section: Chapter Questions

Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...

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Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s pole vault height has fallen below the value predicted by the regression line in Example 2. This might have occurred because when the pole vault was a new event there was much room for improvement in vaulters’ performances, whereas now even the best training can produce only incremental advances. Let’s see whether concentrating on more recent results gives a better predictor of future records. (a) Use the data in Table 2 (page 176) to complete the table of winning pole vault heights shown in the margin. (Note that we are using x=0 to correspond to the year 1972, where this restricted data set begins.) (b) Find the regression line for the data in part ‚(a). (c) Plot the data and the regression line on the same axes. Does the regression line seem to provide a good model for the data? (d) What does the regression line predict as the winning pole vault height for the 2012 Olympics? Compare this predicted value to the actual 2012 winning height of 5.97 m, as described on page 177. Has this new regression line provided a better prediction than the line in Example 2?
Question # 1 A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data…
QUESTION 7- Perform a formal test for correlation on the chocolate consumption / Nobel prize winners data in chocolate_nobels. H0: There is no correlation between chocolate consumption and the number of Nobel prize winners (=0) H1: There is a correlation between chocolate consumption and the number of Nobel prize winners ( is not 0) True or false: The null hypothesis should be rejected based on your analysis in the preceding questions.
An experiment is conducted to see the effect of light intensity on plant growth, what is the dependent variable in this scenario?
Question 7 Identify the most likely type of causal relationship between each of the following pairs of variables. Assume that a strong positive correlation has been observed between the two variables, with the first one being the independent variable. DDDD reverse cause and effect accidental relationship presumed relationship cause and effect 1. 2. 3. 4. the number of police officers, the number of crimes the UV index rating, the rate of developing a sunburn without any sunscreen protection on the skin sales of ice cream cones at Cold Stone Creamery, revenue at Wild Waterworks swimming pool at Confederation Park ticket sales for the school play, "Broadway Titans 2" revenue from
Question 9b . Describe the relationship displayed in the scatterplot (Using DUFS)
Question #13 The Minitab output shown below was obtained by using paired data consisting of weights (in lb) of 32 cars and their highway fuel consumption amounts (in mi/gal). Along with the paired sample data, Minitab was also given a car weight of 5000 lb to be used for predicting the highway fuel consumption amount. Use the information provided in the display to determine the value of the linear correlation coefficient. (Be careful to correctly identify the sign of the correlation coefficient.) Given that there are 32 pairs of data, is there sufficient evidence to support a claim of linear correlation between the weights of cars and their highway fuel consumption amounts? View the Minitab display. ( Minitab output attached) The linear correlation coefficient is___________. (Round to three decimal places as needed.) Is there sufficient evidence to support a claim of linear correlation? A. No B. Yes
Question 7 Consider a cohort study to compare the mortality rate of myocardial infarction (MI) in men with sedentary work (exposed group) to men with physically active work (unexposed). If in the exposed, there were 36,000 person (man) years of observation and 126 deaths whereas the unexposed had 24,000 man-years of observation and 44 deaths. Compute the following a) Mortality rate in each cohort? b) What is the relative risk of dying, comparing these 2 groups? c) What is the attributable risk of sedentary work? d) What is the attributable benefit of physical activity? e) If we assume that MI is associated with the mortality in this cohort (causality), what proportion of the disease in the higher group is potentially preventable?
QUESTION 10 A perfect straight line sloping upward would produce a correlation coefficient value of 1.0. True False
QUESTION 32 Peak expiratory flow (PEF) is a measure of a patient’s ability to expel air from the lungs. Patients with asthma or other respiratory conditions often have restricted PEF. The mean PEF for children free of asthma is 306. An investigator conducts a study to investigate whether there is a difference in mean PEF in children with chronic bronchitis as compared to those without asthma or other respiratory conditions often have restricted PEF. Data on PEF are collected and summarized below. Based on the data, is there statistical evidence of a lower mean PEF in children with chronic bronchitis as compared to those without? Run the appropriate test at  = 0.05. Group Number of Children Mean PEF Std Dev PEF Chronic Bronchitis 25 281 68 No Chronic Bronchitis 25 319 74
question 4 Chen et al. (2000) examined the foraging behaviour of northern elephant seals (Mirounga angustirostris) that breed along the west coast of Mexico and the USA. They attached platform satellite transmitter terminals (PTTs) to 22 male seals and recorded, for each seal, the distance (km) to its main feeding area offshore and the amount of time (days) it spent at the feeding area. The results are presented below: What two null hypotheses are being tested with the output shown above? What statistical conclusions would you draw about these hypotheses? Complete the regression equation by filling in the blanks (to the nearest 3 decimal places). duration = + * distance What is one biological interpretation of this relationship between duration and distance ? What % of the variation in duration at main feeding area was explained by distance to feeding area?
Question 2 A study was conducted on 108 individuals to determine if their attraction to a prospective partner is impacted by the physical appearance of the individual. This study was conducted on individuals who were single, dating or married. The prospecting individuals are classified as Muscular, Average and Overweight. The ratings are provided below (the higher the ratings the more attracted an individual is): Single Dating Married Muscular 10.00 9.00 1.00 5.00 1.00 5.00 9.00 4.00 3.00 2.00 9.00 7.00 8.00 2.00 1.00 4.00 3.00 7.00 9.00 7.00 9.00 1.00 6.00 1.00 8.00 5.00 7.00 10.00 2.00 8.00 10.00 5.00 4.00 2.00 3.00 8.00 Average 9.00 8.00 5.00 5.00 5.00 1.00 7.00 7.00 6.00 10.00 10.00 3.00 3.00 1.00 8.00 10.00 10.00 3.00 4.00 10.00 5.00 1.00 3.00…