Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship.
The age of a vehicle and cost of maintenance
As the age of vehicle increases, the cost of maintenance also increases due to wear out impacts on the vehicles. So, the two variable are positively correlated and are likely to display a strong linear relationship.
Determine if the correlation between the two given variables is likely to be positive or negative,...
Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. The size of a piece of land in acres and its selling price
You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.05 and round all values to 4 decimal places. Driver Age 18 65 72 33 74 66 51 Number of Driver Deaths per 100,000 25 32 21 33 19 18 23 Ho: p = 0...
Question #1 Explain what is meant by a positive relationship between two variables and a negative relationship between two variables. Describe examples of situations in which one would expect to find a positive relationship and when one would expect to find a negative relationship. Can one assign direction when both variables in a table are dichotomous?
PLEASE HELP!! You wish to determine if there is a negative linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 57 56 65 21 46 46 56 26 Number of Driver Deaths per 100,000 36 21 22 20 19 35 27 30...
Determine whether the scatter diagram indicates that a linear relation may exist between the two variables. If the relation is linear, determine whether it indicates a positive or negative association betweon the variables. Use this information to answer the following. 40 Explanatory Do the two variables have a linear relationship? The data points do not have a lir ear relationship because they i e nainty in。B. a straight line The data po nts have a linear relationship because they to...
Question 12 titled folde Determine the type of relationship between the two variables shown in the figure below: we 320 Perfect negative linear relationship Nonlinear relationship Perfect positive linear relationship Negative linear relationship swe 245 Moving to another question wives response Question to
1. construct a scatter plot for the variables 2. compute the value of the correlation coefficient 3. give an explanation of the type nof relationship that exists between the two variables. The explanation should be a short paragraph. In this paragraph inclue the following: *say whether the is a strong positiv elinear correlation, weak positive linear correlation, strong ngative linear correlation, weak negative correlation, or no linear correlation between the two variables. *explain how you can see this from the...
Consider a two-dimensional scatterplot representing the relationship between two continuous variables. If the correlation coefficient is -1, then: a. All points lie in a straight line with a slope of -1. b. All points lie in a straight line with an unknown negative slope. c. All points do not lie in a straight line but the best fitting regression line has a slope of -1. d. There is a strong positive relationship between the two variables.
You wish to determine if there is a positive linear correlation between the two variables at a significance level of α=0.001α=0.001. You have the following bivariate data set. x y 79.4 93.7 54.6 26.9 42 70.2 86.2 84.2 117.9 139.4 51.9 45.4 56.3 69.3 75.7 64.7 59.7 114.5 72.4 51.6 49.9 35.8 93.9 84.4 27.1 29.1 91.9 117.6 55.6 42.8 85.5 125.1 84.4 121.4 105.1 142.3 72.6 37.7 84.5 34.5 101.2 117.9 82.1 131.1 128.4 117.9 97.8 128.6 105.9 75.9...
A research analyst states that the correlation between two variables is statistically significant from zero (with r = 0.85). Which of the following conclusion is appropriate? High values of one variable tend to be associated with low values of the other variable. For every unit of change in one variable tend to be associated with .85 values of the other variable. (C) Any association between the two variables does not appear to be linear. (D) 0.85 indicates...