Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable 1 and variables 2 in DATA, plot variable 1 vs. variable 2 and describe the correlation between variable 1 and variable 2.
variable1 |
variable2 |
-0.21582 |
0.89369 |
0.56997 |
-0.72620 |
-0.54850 |
-0.09185 |
-0.12385 |
0.50086 |
0.06975 |
-0.73607 |
0.16327 |
0.88498 |
-0.72595 |
-0.27512 |
0.22500 |
0.62647 |
-0.40463 |
0.92432 |
0.67652 |
0.56368 |
-0.82322 |
0.73005 |
0.06747 |
-0.74824 |
0.74055 |
0.79412 |
-0.71577 |
-0.04509 |
-0.82231 |
-0.70951 |
-0.47603 |
0.01573 |
0.58094 |
0.51169 |
-0.58573 |
0.10376 |
0.19003 |
-0.90089 |
-0.49528 |
0.04767 |
0.93083 |
-0.16886 |
0.61389 |
-0.65529 |
-0.91742 |
0.25296 |
-0.60957 |
-0.24747 |
None of the answers accurately characterize the data.
The strength of the relationship is moderate, linear, and positive/
The strength of the relationship is moderate, linear, and negative.
The relationship is linear, positive, and strong.
The strength of the relationship is strong, but it is not linear.
The relationship is linear, negative and strong.
There is no relationship, or the strength of the relationship is very weak
Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable 1...
setup a predictive equation involving variable 1 and variable 2. First, you plot the data below to determine if linear regression applies. variable1 -0.21582 0.56997 -0.54850 -0.12385 0.06975 0.16327 -0.72595 0.22500 -0.40463 0.67652 -0.82322 0.06747 0.74055 -0.71577 -0.82231 -0.47603 0.58094 -0.58573 0.19003 -0.49528 0.93083 0.61389 -0.91742 -0.60957 variable2 0.89369 -0.72620 -0.09185 0.50086 -0.73607 0.88498 -0.27512 0.62647 0.92432 0.56368 0.73005 -0.74824 0.79412 -0.04509 -0.70951 0.01573 0.51169 0.10376 -0.90089 0.04767 -0.16886 -0.65529 0.25296 -0.24747 Choose your answer from the following: a) The...
Based on the three scatter plots, which show correlations between two variables X and Y, which one of the following statements is correct? The relative magnitude of the three correlations is a < b < c. The relative magnitude of the three correlations is a = b < c.. Scatter plot a shows a strong positive correlation Scatter plot c shows a weak positive correlation.
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...
A set of bivariate data consists of these measurements on two variables, x and y: 2 4 4 6 8 4 7 6 (a) Make a scatterplot. Comment on the form, direction, and strength of the relationship. The relationship appears to be linear, positive, and fairly weak. The relationship appears to be linear, negative, and fairly strong. The relationship appears to be linear, positive, and fairly strong. The relationship appears to be linear, negative, and fairly weak. ● The relationship...
Scatter diagrams allow us to see relationships between two variables. Cite an example of two variables that might have a strong positive relationship. What would that scatter diagram look like? Next, cite an example of two variables that have very little relationship and describe what that scatter diagram would look like. Last, tell us why illustrating data in this way is helpful.
Five observations taken for two variables follow. | 4 yi | 50 6 50 11 40 3 60 16 | 30 a. Which of the following scatter diagrams accurately represents the data set? A. - B. . 60 ----- 50 ------- 운 요 요 10. 20 30 .. ... 19. 20. ..30 .. DY -600 -60- 50 - 40 --------- 30-- - - _20____ 30 ___40 - 20 30 40 - Select your answer - b.What does the scatter diagram...
QUESTION 6 Suppose the correlation coefficient between two variables is found to be -0.94. Which of the following statements are true? there is a strong tendency for small values of one variable to be associated with large values of the other variable there is a weak negative relationship between the variables a scatter plot of the data points would show a clear downward trend there is a strong tendency for low values of one variable to be paired with low...
Describe in words the nature of the relationship between each pair of variables. Give a verbal description of the way the variables are related (how are changes in one variable related to changes in the other). This should include the direction of the relationship (what does it mean if the correlation value is positive or negative) and the strength of the relationship (is there a strong or weak correlation). r = -.82 between a job applicant's age and likelihood of...
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...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is provided. Y Dependent Variable 15 17 23 17 I. The least-squares estimate of the slope equals: II. The least-squares estimate of the intercept equals: III. If the independent variable increases by 2 units, the dependent variable is expected to a. decrease by $300 b. decrease by $3000 c. decrease by $3 d. decrease by $2 e. none of the above The letter corresponding...