answer and discuss properly 7. Moreover, Dr. Castillejo suspects that other than maximum pulse rate (from 152bpm to 196 bpm), othervariables such as gender and weight (from 53.14 to 85.99) also affect the oxygen consumption of the gymmembers. Based on the R commander output below, determine which predictor is linearly related tooxygen consumption. Make sure to interpret all necessary estimates. Also, provide a measure that reportsthe adequacy of the model.R COMMANDER OUTPUT1m (formula = oxygen.consumption weight + maximum.pulse + gender,data = aerobic)Estimate Std. Error t value Pr (>|t|)(Intercept)61.568644.52025 13.620.000***weight-0.208510.07331 -2.840.007***maximum_pulse0.289780.055160.000***5.250.03292 -1.28 0.208gender [male]-0.04201Signif. codes: 0 ***** 0.001 **** 0.01 * 0.05 ¹.¹ 0.1 '11Residual standard error: 0.11373 on 47 degrees of freedomMultiple R-squared: 0.9929, Adjusted R-squared: 0.9925F-statistic: 2155.13 on 3 and 46 DF, p-value: < 2.2e-16 HIn physiology, an objective measure of aerobic fitness is how efficiently the body canabsorb and use oxygen (oxygen consumption). A physiologist, Dr. Castillejo, conducted aresearch wherein subjects participated in a predetermined exercise run of 1.5 miles.Measurements of oxygen consumption as well as several other variables such as age,gender, runtime, resting and maximum pulse rates, and weight were recorded from 50randomly selected gym members. Dr. Castillejo is interested in determining whether anyof these other variables can help predict oxygen consumption. She believes that apossible link between these factors will help her determine how to improve the health ofher gym members.Help Dr. Castillejo in developing a proposal for the improvement of her gym members' health condition. Thevariables are described below.gender- either male or femaleruntime-time to run 1.5 miles (in min)age - age of the gym member in yearsweight - weight of the gym member (in kg)oxygen consumption - measure of the ability to use oxygen in the blood stream (in ml/min)rest pulse - resting pulse rate (in bpm)maximum pulse - maximum pulse rate during the run (in bpm)

Regression are used to determine the linear relationship between two variable, they are independent…

Answered: Moreover, Dr. Castillejo suspects that…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ

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In 2015, over 30,00030,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opioids increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opioid-related use. For a given patient admitted to a hospital for an opioid-related event, identify which of these events are disjoint. A) The patient was 62 years old. B) The patient did not visit the emergency room. C) The patient was male. D) The patient was admitted to a large metropolitan hospital. E) The patient's case was critical and they were admitted to the emergency room.
In 2015, over 30,00030,000 Americans died from opioid overdoses, and the number of inpatient stays and emergency visits to hospitals related to opiods increased dramatically compared to previous years. The National Institutes of Health (NIH) have partnered with the Healthcare Cost and Utilization Project (HCUP) to gather data on opioid-related deaths and hospitalizations. These data include information about inpatient stays, emergency department visits, age, sex, income, and opiod-related use. For a given patient admitted to a hopsital for an opioid-related event, identify which of these events are disjoint.
8 (part 2). Does When Food Is Eaten Affect Weight Gain?A study was introduced that examined the effect of light at night on weight gain in mice. In the full study of 27 mice over a four-week period, the mice who had a light on at night gained signiﬁcantly more weight than the mice with darkness at night, despite eating the same number of calories and exercising the same amount. Researchers noticed that the mice with light at night ate a greater percentage of their calories during the day (when mice are supposed to be sleeping). The computer output shown below allows us to examine the relationship between percent of calories eaten during the day, DayPct, and body mass gain in grams, BMGain. A scatterplot with regression line is also shown below.Pearson correlation of BMGain and DayPct =0.740P-Value =0.000--------------------------------------------------------------The regression equation isBMGain=1.11+0.127DayPct Predictor Coef SE Coef T P Constant 1.113 1.382 0.81 0.428 DayPct…
Compare the performance of the methods linear , random , ,exponential in Task Assignment Mechanisms based on the performance assessment metrics.
When wildebeest are more abundant, they graze the grass more heavily, so there are fewer fires and moretrees grow. Lions feed more successfully when there are more trees, so the lion population increases. Thedata on one part of this cycle, wildebeest abundance (in thousands of animals) and the percent of the grassarea that burned in the same year are on the spreadsheet. To what extent do these data support the claim that more wildebeest reduce the percent of grasslands that burn? How rapidly does burned area decrease as the number of wildebeest increases? To answer these questions, create a scatterplot and add the regression line. Describe the scatterplot. Interpret the slope and intercept in context of the problem. Does the intercept explanation make sense in the real world? Find the correlation coefficient and coefficient of determination. What do they tell us about the relationship between number of wildebeest and percent of grassland burned? Beest (in 1000s) Percent Burned…
In a study of exhaust emissions from school buses, the pollution intake by passengers was determined for a sample of nine school buses used in the Southern California Air Basin. The pollution intake is the amount of exhaust emissions, in grams per person per million grams emitted, that would be inhaled while traveling on the bus during its usual 18-mile18-mile trip on congested freeways from South Central LA to a magnet school in West LA. (In comparison, a city of 11 million people will inhale a total of about 1212 grams of exhaust per million grams emitted.) The amounts for the nine buses when driven with the windows open are given in the table. 1.15 0.33 0.40 0.33 1.35 0.38 0.25 0.40 0.35 A good way to judge the effect of outliers is to do your analysis twice, once with the outliers and a second time without them. Give the 90%90% confidence interval with all the data for the mean pollution intake among all school buses used in the Southern California Air Basin that…
At the 5% level of significance, which variables are statistically significant? If the price of cement per yard increases by 10, what will happen to the estimated quantity of cement demanded? What happens if it will increase by 20%?
A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by surgery. However, in the studies reporting on the effects of the surgery on Type ll diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. What is the percentage of patients who recovered from diabetes in 2004?
A study published in JAMA in 2004 examined past results of other studies on bariatric surgery. Bariatric surgery is done to replace the size of the stomach in various ways. It is typically used on only obese patients, and one the traditional form of the surgery, gastric bypass has a 1% mortality (death) rate caused by surgery. However, in the studies reporting on the effects of the surgery on Type ll diabetes, 1417 of 1846 diabetic patients recovered completely from diabetes after surgery. These patients no longer need medication like insulin (which is injected into the skin) or pills to help manage blood sugar. What is the 90%, 95%, and 99% confidence interval for the percentage of recovery from diabetes (2004) data?
1 (part 2). Does When Food Is Eaten Affect Weight Gain?A study was introduced that examined the effect of light at night on weight gain in mice. In the full study of 27 mice over a four-week period, the mice who had a light on at night gained signiﬁcantly more weight than the mice with darkness at night, despite eating the same number of calories and exercising the same amount. Researchers noticed that the mice with light at night ate a greater percentage of their calories during the day (when mice are supposed to be sleeping). The computer output shown below allows us to examine the relationship between percent of calories eaten during the day, DayPct, and body mass gain in grams, BMGain. A scatterplot with regression line is also shown below (attached image).Pearson correlation of BMGain and DayPct =0.740P-Value =0.000--------------------------------------------------------------The regression equation isBMGain=1.11+0.127DayPct Predictor Coef SE Coef T P Constant 1.113 1.382…
Large companies typically collect volumes of data before designing a product, not only to gain information as to whether the product should be released, but also to pinpoint which markets would be the best targets for the product. Several months ago, I was interviewed by such a company while shopping at a mall. I was asked about my exercise habits and whether or not I'd be interested in buying a video/DVD designed to teach stretching exercises. I fall into the male, 18-35-years-old category, and I guessed that, like me, many males in that category would not be interested in a stretching video. My friend Holly falls in the female, older-than-35 category, and I was thinking that she might like the stretching video. After being interviewed, I looked at the interviewer's results. Of the 89 people in my market category who had been interviewed, 20 said they would buy the product, and of the 103 people in Holly's market category, 28 said they would buy it. Assuming that these…
What is the step-step solution to this problem? Does posting calorie content for menu items affect people’s choices in fast-food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content of food purchases for children and adolescents in four large fast-food chains before and after mandatory labeling began in New York City. Although most of the adolescents reported noticing the calorie labels, apparently the labels had no effect on their choices. Data similar to the results obtained show an average of M = 786 calories per meal with s = 85 for n = 100 children and adolescents before the labeling, compared to an average of M = 772 calories with s = 91 for a similar sample of n = 100 after the mandatory posting. Use a two-tailed test with a α .05 to determine whether the mean number of calories after the posting is significantly different than before calorie content was posted. 3. Calculate r 2 to…

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