Descriptive statistics concerning the relationship between age and net sales (correlation coefficient)
what is the independent variable and the dependent variable?
A) Relationship between age and net sales are helpful for depratmental stores to understand out target customers and sales increase. there are some parameters are required to explain relationship age and sales are as under:
1. Sales data
2, Customer Age, Marital Status, Type of Customers. Gender Etc)
B) Independent Variables are those variables which can not be changed. For example, age of a person might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age.
Dependent Variable are those variables which are completly dependent on other fectors. For Example, Credit rating of a person is depend on its timely repayment of loan.
Descriptive statistics concerning the relationship between age and net sales (correlation coefficient) what is the independent...
We
want to determine the strength of the relationship between the
independent variable "age" and the dependent variable "intelligence
quotient". In our sample, the mean of the variable "age" is equal
to 14, and its variance is equal to 46,4. The mean of the variable
"intelligence quotient" is equal to 102, and its variance is equal
to 0. The list of corresponding data for the two variables is
pictured below.
Determine the value of the correlation coefficient between the
two...
The sample correlation coefficient for the relationship between sales increase and dollars spent on advertising is r = 0.954. WHAT PERCENTAGE OF THE VARIABILITY IN SALES INCREASE CAN BE EXPLAINED BY THE REGRESSION LINE, USING ADVERTISING DOLLARS AS THE PREDICTING VARIABLE? Show work here.
For which of these research situations would you most likely calculate a correlation coefficient? A. independent variable = college major; dependent variable = type of car owned B. independent variable = age; dependent variable = reaction time in milliseconds C. independent variable = type of car owned; dependent variable = money spent on gasoline per week D. independent variable = city of residence; dependent variable = miles driven per week
8) Suppose the correlation coefficient between two variables is -0.897. Does the dependent variable increase or decrease as the independent variable increases? O a. The dependent variable will decrease as the independent variable increases. O b. The dependent variable will remain constant as the independent variable increases. The dependent variable will remain constant as the independent variable increases. The dependent variable will increase as the independent variable increases.
22. The coefficient of determination explains the relationship between two variables the proportion of variance in one variable accounted for by another variable and vice versa the cause–effect relationship between two variables all of the above 23. The ____________ assumption is met if, in a scatterplot, the distance from the points to the line is relatively equal all along the line. a. homoscedasticity b. linearity c. curvilinearity d. heterolinearity 24. The strength of a relationship between two variables in correlation...
Statistics can be used to: a. reduce data to more easily understood, descriptive terms. b. generalize results. c. determine when an observed difference between two or more groups is the result of chance, or when it is the result of “real” differences between groups. d. all of the above A sociologist examines the relationship between political party affiliation and how this impacts views on the War in Afghanistan. Group of answer choices a. Political party affiliation is the independent variable,...
Question 1 Descriptive statistics is: a. Used to demonstrate the relationship between two variables b. Expressing the average distance that the scores in a set of data fall from the mean c. Measure of the degree of relationship between two variables d.Description of the average score & a description of how spread out or close together the data lie What is the independent variable in the following experimental title: The effect of regulating stress reactions on personality in adolescents with...
A sales manager for an advertising agency believes there is a relationship between the number of contacts and the amount of the sales. To verify this, the following data was collected: Sales ($) Contacts 25,000 15 16,000 15 28,000 20 60,000 18 80,000 46 35,000 24 85,000 45 80,000 45 95,000 55 110,000 52 Which is the: Independent variable? ___________________ Dependent variable? ___________________ Calculate the coefficient of correlation and interpret the results. Determine both the coefficient of determination and non-determination...
QUESTION 5 What measures the strength of the correlation? The dependent variable The independent variable The p-value The correlation coefficient 10 points QUESTION 6 Correlation coefficients are always between which of the following? -1.0 and +1.0 0 and 100 0 and +1.0 -1.0 and 0
correlation coefficient quantifies linear relationship with a number between