After the availability of covid 19 vaccinces in the Phiippines, the data below shows the number of senior citizens who received the vacines in City of Manila. Week No. 3 9 Senior Citizens who are Vaccinated 100 120 210 300 250 Based on the above data, determine the model of the vaccinated senior citizens. Determine also the vaccinated senior citizens in the 15th week.
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- The mortality rate from melanoma (skin cancer) during the 1950s was recorded for each of the 48 contiguous United States, plus Washington, D.C. (as reported by Fisher and Van Belle (1993) and found at http://www.stat.psu.edu/~lsimon/stat501wc/sp05/data/ The following is the scatterplot of the data: Mortality per 10 million 225 200 175 150 125 100- 30 35 Scatter plot 40 Latitude r=-.83 45 50 The plot shows a negative linear relationship between the latitude of the state and melanoma mortality rate. Which of the following is an appropriate interpretation of the negative relationship shown in the scatterplot above? A. O The more southern the state, the more people that died of melanoma. B. O The more southern the state, the higher the melanoma death rate. C. The more northern the state, the higher the melanoma death rate.A researcher randomly assigns 118 critically ill patients to receive a drug and 234 to receive a placebo. Among those assigned to the Drug Arm of the study 47 died and among those assigned to the Placebo Arm 51 died. Determine the estimated dying relative risk (drug vs. placebo) rounded to the nearest hundredth.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 125 patients from the city and estimates the following regression function: Y= 15.50 + 0..90B+1.15A. (0.55) (0 40) The test statistic of the study the student wants to conduct (Ho: B, = 0 vs. H, B, #0), keeping other variables constant is. (Round your answer to two decimal places.) At the 5% significance level, the student will ▼ the null hypothesis. Keeping BMIl constant, she now wants to 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…
- use calculator method pleaseThe data in the attached image represents blood pressure based on a new trial medication used in an experiment involving a total of 50 male and female subjects. There were two levels of treatment: 0 = placebo and 1 = treatment group. Family History Blood Pressure = Fam-Hist-BP; from the paternal side = PS; from the maternal side = MS; from both sides = BS; none on both sides or not known = N.; Blood pressure before the experiment = BP-Before-Exp; Blood pressure after the experiment = BP-After-Exp. Task: Generate at least two different cross tabulations.The data in the attached image represents blood pressure based on a new trial medication used in an experiment involving a total of 50 male and female subjects. There were two levels of treatment: 0 = placebo and 1 = treatment group. Family History Blood Pressure = Fam-Hist-BP; from the paternal side = PS; from the maternal side = MS; from both sides = BS; none on both sides or not known = N.; Blood pressure before the experiment = BP-Before-Exp; Blood pressure after the experiment = BP-After-Exp. Task: Construct a side-by-side boxplot to compare the variables BP-Before-Exp and BP-After-Exp.
- The data in the attached image represents blood pressure based on a new trial medication used in an experiment involving a total of 50 male and female subjects. There were two levels of treatment: 0 = placebo and 1 = treatment group. Family History Blood Pressure = Fam-Hist-BP; from the paternal side = PS; from the maternal side = MS; from both sides = BS; none on both sides or not known = N.; Blood pressure before the experiment = BP-Before-Exp; Blood pressure after the experiment = BP-After-Exp. Task: Construct a histogram to represent the family BP history, the subjects' BP before treatment and the subjects' BP after treatment.The data in the attached image represents blood pressure based on a new trial medication used in an experiment involving a total of 50 male and female subjects. There were two levels of treatment: 0 = placebo and 1 = treatment group. Family History Blood Pressure = Fam-Hist-BP; from the paternal side = PS; from the maternal side = MS; from both sides = BS; none on both sides or not known = N.; Blood pressure before the experiment = BP-Before-Exp; Blood pressure after the experiment = BP-After-Exp. Task: Find the mean and standard deviation for the family history group, the before treatment group, and the after treatment group.A wildlife biologist was interested in determining the effect of raising deer in captivity on the size of the deer. She decided to consider three populations: deer raised in the wild, deer raised on large hunting ranches, and deer raised in zoos. She randomly selected eight deer in each of the three environments and weighed the deer at age 1 year. The weights (in pounds) are given in the data_7. The biologist hypothesized that the weights of deer from captive environments would have a larger level of variability than the weights from deer raised in the wild. Do the data support her contention? data_7 'Wild' 'Ranch' 'Zoo'114.7 120.4 103.1128.9 91 90.7111.5 119.6 129.5116.4 119.4 75.8134.5 150 182.5126.7 169.7 76.8120.6 100.9 87.3129.59 76.1 77.3
- A researcher collected data on how much extra sleep subjects got after being placed into one of two groups. Each group received a different set of mediation exercises. The dataset they collected is called df and the first 6 rows are shown here: Which lines of code are required to make the plot above? Click all that apply. a. geom_boxplot(alpha = .3) b. geom_jitter(width=.1, size = 2, color = "navy") c. geom_boxplot(fill = "dodgerblue", alpha = .3) d. geom_jitter(color = "navy") e. ggplot(sleep, aes(x = group, y = extra)) f. theme_classic()you randomly select 15 apple tree locations and 15 citrus tree locations from different forests. Each location is 1000 m² in size. Now you randomly create 10 zones within each forest (300 total) and measure plant biomass in each for three years (900 being the final tally) determine the population of interest, the dependent variable, the independent variable, and if the independent variable is being observed or controlled/manipulated, and number of replicates pseudoreplicates.Write short note on regression line?