A company studied the productivity of their employees on a new information system. They were interested...
A company studied the productivity of their employees on a new information system. They were interested in if the age (X) of data entry operators influenced the number of completed entries made per hour (Y). If the regression equation is = 14.374 + 0.145x. The SD of age is = 14.04, and the SD of the number of completed entries made per hour is = 2.61.
What is the correlation coefficient between age and productivity?
How to interpret the correlation?
How to interpret the slope?
If a data entry operator is 40 years old, what is the predict productivity using the regression equation?
Homework Answers
Add Answer to:
A company studied the productivity of their employees on a new
information system. They were interested...
Age of Suspect 11 18 18 13 22 22 21 30 24 Age of Victim 13...
Age of Suspect 11 18 18 13 22 22 21 30 24 Age of Victim 13 14 18 15 22 22 29 44 29 Age of Suspect 45 27 59 33 49 51 31 64 23 Age of Victim 36 37 42 43 47 51 49 61 51 Age of Suspect and Age of Victim in Single Suspect Incidences of Gun Violence The table above shows the age of the suspect and the age of the victim in a random...
Please type answer in word and include how you solved it and work in the word...
Please type answer in word and include how you solved it and work in the word document. The following table shows the overall GMAT scores of ten randomly selected participants and the number of hours they studied per week: Score Avg. weekly hours 550 12 380 18 430 21 600 20 650 48 680 21 540 14 750 56 710 40 400 10 a. Identify the variables. b. Calculate and interpret the correlation coefficient. c. Perform a hypothesis test to determine if the...
2. Suppose we are interested in the relationship between number of hours of exercise per week...
2. Suppose we are interested in the relationship between number of hours of exercise per week and systolic blood pressure in males 50 years of age. A random sample of 10 males 50 years of age is selected. In this analysis, the IV is number of hours of exercise per week and the DV is systolic blood pressure. The data are as follows: X = #hrs of exercise WkY=systolic BPXY 120 4 10 3 3 1 2 2 110 120...
4. You are interested in analyzing whether pollution affects productivity at call centers. You have a...
4. You are interested in analyzing whether pollution affects productivity at call centers. You have a dataset that lists daily calls per worker made from call centers in different cities. The data also shows the Air Quality Index at the city on that date. The Air Quality Index is a measure of the number of particles in the air that ranges from 0 to 500. Lower levels indicate less pollution. The following lines are an extract from the full dataset:...
26) A study in transportation safety collected data on 42 North American cities. From each city,...
26) A study in transportation safety collected data on 42 North American cities. From each city, two of the variables recorded were X = percentage of licensed drivers who are under 21 years of age, and Y = the number of fatal accidents per year per 1000 licenses. Below is the output from the data: Parameter Intercept Std. Estimate -1.59741 Error 0.371671 T Statistic -4.29792 p-value 0.0001 0.0293898 9.76711 0.0000 Slope 0.287053 Correlation coefficient = 0.839387 R-squared = 70.4571 percent...
An individual wanted to determine the relation that might exist between speed and miles per gallon...
An individual wanted to determine the relation that might exist between speed and miles per gallon of an automobile. Let X be the average speed of a car on the highway measured in miles per hour and let Y represent the miles per gallon of the automobile. The following data is collected: X 50 55 55 60 60 62 65 65 Y 28 26 25 22 20 20 17 15 a. In the space below, draw a scatterplot of the...
Total Snowfall and Number of Visitors at Yellowstone National Park The tables below show the total...
Total Snowfall and Number of Visitors at Yellowstone National Park The tables below show the total snowfall (in inches) and the number of visitors to Yellowstone National Park during 18 randomly selected weeks. Total Snow Fall (inches) 8.3 28.9 13.8 10.7 23.5 24.8 Visitors 123,867 24,328 51,692 121,958 44,946 29,684 Total Snow Fall 28.3 29.7 5.3 1.3 21.3 16 Visitors 19,147 31,155 120,266 147,767 18,472 28,147 Total Snow Fall 0 29.7 0 2.5 6 24.4 Visitors 201,797 31,155 252,013 203,712...
Questions 6, 7, 10, 11 and 12. Question 6 1 pts Select the appropriate equation for...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
A group of researchers at a media consulting firm are interested in understanding the factors that...
A group of researchers at a media consulting firm are interested
in understanding the factors that shape TV viewing behavior. The
researchers collect data from a random sample of 699 adult
respondents over age 40 in the United States. The research
consultants hypothesize that individuals' income levels influence
how much television they watch per day. The dataset includes a
variable capturing each person's annual income in thousands of
dollars (i.e. one unit = $1000). Their dataset also includes a
measure...
Problem: You are interested in factors that predict the salaries of catwalk models. You collected...
Problem: You are interested in factors that predict the salaries
of catwalk models. You collected data from 231 models (attached
SPSS data file: supermodel_1.sav). For each model, you asked:
salary per day in dollars (on days when working (variable:
salary_2), age (variable: age), and how many years they have worked
as a model (variable: years). You also got a panel of experts from
various modeling agencies to rate the attractiveness of each model
as a percentage, with 100% being perfectly...
2. Suppose we are interested in the relationship between number of hours of exercise per week and systolic blood pressure in males 50 years of age. A random sample of 10 males 50 years of age is selected. In this analysis, the IV is number of hours of exercise per week and the DV is systolic blood pressure. The data are as follows: X = #hrs of exercise WkY=systolic BPXY 120 4 10 3 3 1 2 2 110 120...
4. You are interested in analyzing whether pollution affects productivity at call centers. You have a dataset that lists daily calls per worker made from call centers in different cities. The data also shows the Air Quality Index at the city on that date. The Air Quality Index is a measure of the number of particles in the air that ranges from 0 to 500. Lower levels indicate less pollution. The following lines are an extract from the full dataset:...
26) A study in transportation safety collected data on 42 North American cities. From each city, two of the variables recorded were X = percentage of licensed drivers who are under 21 years of age, and Y = the number of fatal accidents per year per 1000 licenses. Below is the output from the data: Parameter Intercept Std. Estimate -1.59741 Error 0.371671 T Statistic -4.29792 p-value 0.0001 0.0293898 9.76711 0.0000 Slope 0.287053 Correlation coefficient = 0.839387 R-squared = 70.4571 percent...
Questions 6, 7, 10, 11 and 12.
Question 6 1 pts Select the appropriate equation for the line of prediction from the SPSS output. Coefficients Standardized Coefficients Beta Sig. Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.977 1.193 Variable 1 414 096 Variable 2 -2019 2011 a. Dependent Variable: Outcome (Y) 458 -181 t 3.333 4.313 -1.704 .001 000 ,093 O Yhat = 3.977 +4.313X1 - 1703X2 Yhat - 3.977 +0.458X, -0.181X2 Yhat = 3.333+4.313X1 - 1703X, Yhat =...
A group of researchers at a media consulting firm are interested
in understanding the factors that shape TV viewing behavior. The
researchers collect data from a random sample of 699 adult
respondents over age 40 in the United States. The research
consultants hypothesize that individuals' income levels influence
how much television they watch per day. The dataset includes a
variable capturing each person's annual income in thousands of
dollars (i.e. one unit = $1000). Their dataset also includes a
measure...
Problem: You are interested in factors that predict the salaries
of catwalk models. You collected data from 231 models (attached
SPSS data file: supermodel_1.sav). For each model, you asked:
salary per day in dollars (on days when working (variable:
salary_2), age (variable: age), and how many years they have worked
as a model (variable: years). You also got a panel of experts from
various modeling agencies to rate the attractiveness of each model
as a percentage, with 100% being perfectly...
Most questions answered within 3 hours.
-
What is the temperature of 100.0 grams of chlorine gas in a
55.0-L container at 800....
asked 12 minutes ago -
POLITICAL SCIENCE: Is members of the House of Representatives
responsive to public opinion?
asked 12 minutes ago -
The following information is available for two samples selected
from independent normally distributed populations. Population A:...
asked 14 minutes ago -
Hello, I have questions on Matlab. Let's say that I have an
equation. Signal x(t)= cos(2*pi*10*t)...
asked 1 hour ago -
choose a radioactive isotope used in healthcare or another field
and report on how your isotope...
asked 43 minutes ago -
Balance the following half-reactions in acidic solution,
identify the oxidation states of the metal atoms, and...
asked 40 minutes ago -
describe
three ways that industrialized agriculture can impact human
health?
asked 56 minutes ago -
A resistor and capacitor are connected in series to a power
supply of 50 Volts. The...
asked 51 minutes ago -
(20
10Ne) (72 37Rb) (16 8O) (11 5B) why isotope of Rb is most unstable?
is...
asked 48 minutes ago -
A firm will pay a dividend of $2.01 next year. The dividend is
expected to grow...
asked 56 minutes ago -
The Bureau of Labor Statistics divides the adult population into
four categories: employed, underemployed, unemployed, and...
asked 1 hour ago -
Question 29 Which of the following is not needed in order to
prepare a statement of...
asked 1 hour ago