H11

The r code for side by side boxplot of vitamind v newage and vitamin d v country. Scatterplot code for relationship between vitamin d level and age.

The data set Pain contains hypothetical data for a clinical trial of a drug therapy to control pain. The clinical trial investigates whether adverse responses increase with larger drug doses. Subjects receive either a placebo or one of four drug doses (1, 2, 3, or 4 units). An adverse response is recorded as Adverse = 'Yes'; otherwise, it is recorded as Adverse = 'No'. The number of subjects for each drug dose and response combination is contained in the variable Count. (a) Construct a contingency table that corresponds to the data set created above. What type of variable is Dose? (B) Compute the sample proportions of adverse responses at each dose level. Do you observe any trend in the proportion of adverse responses with respect to dose level? (C) Conduct a Cochran-Armitage trend test at the 5% significance level to address the interests of the trial.

A survey of used car dealers in the Wichita area was conducted by the Wichita Eagle to determine the relationship between the amount of classified advertising of used cars and used car sales. The table below shows the hundreds of lines of classified ads (200=2) and the number of used cars sold in a month for each of the six dealers who used no other advertising medium.     The dealers want to predict the number of used cars sold based on the amount of classified advertising. Which is the dependent variable, number of used cars sold or amount of classified advertising?

Describe the structure of the data. Is it different than data you have examined before? Specifically, there are 24 rows in this data set, but the set provides information about 4,526 observations (the sum of the "count" column). Describe what each row represents. Each of the six departments (A-F) have four rows of data in this set corresponding to each of the following. 1st row Males who were admitted 2nd row Males who were not admitted 3rd row 4th row Females Females Of the 4,526 applicants in this data set, 1,755 were admitted for an overall admission rate of approximately 39%. The admission rate for males was 45%, while the admission rate for females was 30%. Complete the following table using Section 3 in the Tutorial or by adding up the counts by hand for each category. (For example: add up all counts where Admission = 1 and Sex = 1 to get the number of males who were admitted.) Sex Number Admitted Male Female who were admitted who were not admitted 1198 557 Number Rejected 1493…

Can subpoints d to f be explained pleased

The question is in the image.

A company sets different prices for a particular DVD system in eight different regions of the country. The accompanying table shows the numbers of units sold and the corresponding prices (in dollars). Plot the data using a scatter plot with sales as the dependent variable and price as the independent variable.Sales  420  380  350  400  440  380  450  420Price  104  195  148  204   96   256  141  109

The entirety of the data set will be in the two pictures

For test taking, do you retain information better writing it down with paper and pen or typing on a laptop? There will be 2 groups of students taking the same exam. Prior to the exam, they are given a crash course to study, 1 group writing down notes with pen and paper and the other group typing notes on a laptop.  What is the dependent variable?

Which two rows of the data table show the following pattern? Select all that apply. A tripling of the value of x results in the value of y increasing by a factor of nine. Row X A 2 B C D E Rows A and B. Rows A and C Rows A and D Rows A and E Rows B and C 4 6 8 12 Tap the options below to select and deselect. Select all that apply. Rows B and D Rows B and E Rows C and D Rows C and E Rows D and E y 2 8 18 32 72

### Input your data into two columns. Column one will contain the categorical variable (Type) and column two will contain the numeric data (Amount Eaten cm). Create a dataframe containing those two columns. (you may abbreviate the seed type name to shorten the amount of typing)

Make a linear model for the following data  (1,13) (5,20) (9,27) (13,34)

4A  Create a scatterplot of the data. Height is X-axis and Shoe size is Y-axis    Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Height (inches) 69 67 67 64 68 69 58 74 70 Shoe Size 10 9.5 10 9 9.5 11 6 11.5 10.5

The electric power consumed each month by a chemical plant is thought to be related to the average ambient temperature (x₁), the number of days in the month (x₂), the average product purity (x3), and the tons of product produced (x4). The past year's historical data are available and are presented in the following table: Y 240 236 270 274 301 316 270 296 267 276 288 261 25 31 45 60 65 72 80 84 75 60 50 38 X2 24 21 24 25 25 26 25 25 24 25 25 23 Fit a multiple linear regression to predict power (y) using x1, X2 X3, and X4. Calculate R2 for this model. Round your answer to 3 decimal places. 91 90 88 87 91 94 87 86 88 91 90 89 X4 100 95 110 88 94 99 97 96 110 105 100 98

Unstack the data from the variables Cr. hours and Age into two columns labeled Full time and Part time. Calculate the median age of full-time students. Calculate the average age of part-time students. Cr. Hrs. 7 9 9 9 12 6 6 12 9 6 4 3 12 14 15 3 13 12 12 7 Age 36 17 19 21 20 20 22 21 21 16 20 20 34 19 20 22 24 20 31 20

The following table shows economic development measured in per capita income, PCINC. a. Year 1870 1880 1890 1900 1910 PCINC 334 507 591 753 923 Year 1920 1930 1940 1950 1960 What are the independent and dependent variables? The independent variable is the Click for List Click for List PCINC 1,045 1,166 1,360 1,828 2,141 and the dependent variable is the