rate positively ..
Rule : higher the correlation higher the relationship between the variable. | ||||||
Lower the correlation lower the relationship between the variable. | ||||||
Correlation range from -1 to +1 ..-1 being lowest to +1 being highest relationship | ||||||
now we can answer both the question | ||||||
Ans 1) | Correct anwer is option - | |||||
d) Correlation = +0.78 | ||||||
Ans 2) | Correct anwer is option - | |||||
a) correlation = -1.00 | ||||||
Which of the following correlations represents the strongest relationship bet variables? a. Correlation = -1.00 b....
Which of the following correlations represents the strongest relationship? (1 pt) please show all work and steps a. r = –0.10 b. r = +0.40 c. r = –0.70 d. r = –0.04
Question 3: a. I can tell the strength of a relationship between two variables by looking at the sign of the correlation coefficient(2 points) True False b. Which correlation coefficient represents the strongest relationship between two variables: (2 points) + 0.75 - 0.9 + 0.20 - 0.50
Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when both variables are measured on an interval or ratio scale A correlation examines the relation between two variables The Pearson Correlation Coefficient describes the relation between two variables in terms of the strength and direction of the relationship. A correlation implies causation
Which of the following indicates the strongest correlation? Question options: r = -0.57 r = +0.78 r = -0.90 r = +0.88
Which of the following Pearson r values shows the strongest relationship between two variables? A. -0.75 B. +0.37 C. +.70 D. .95
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.
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.
The following data were collected on a simple random sample of 20 patients with hypertension: Y=mean arterial blood pressure (mmHg), X1=age(years), X2= weight (kg), X3=body surface area (sq m), X4=duration of hypertension, X5 =basal pulse (beats/min), X6=measure of stress. A researcher is interested in developing a regression model to predict mean arterial blood pressure and has produced the following output: > rcorr(as.matrix(hyper)) Y X1 X2 X3 X4 X5 X6 Y 1.00 0.66 0.95 0.87 0.29 0.72 0.16 X1 0.66 1.00...
The following data were collected on a simple random sample of 20 patients with hypertension: Y=mean arterial blood pressure (mmHg), X1=age(years), X2= weight (kg), X3=body surface area (sq m), X4=duration of hypertension, X5 =basal pulse (beats/min), X6=measure of stress. A researcher is interested in developing a regression model to predict mean arterial blood pressure and has produced the following output: > rcorr(as.matrix(hyper)) Y X1 X2 X3 X4 X5 X6 Y 1.00 0.66 0.95 0.87 0.29 0.72 0.16 X1 0.66 1.00 0.41 0.38 0.34 0.62 0.37 X2 0.95 0.41...
Assess whether the following correlation coefficients denote a very strong relationship, strong relationship, moderate relationship, weak relationship, or no relationship at all: a) -0.74 b) -0.12 c) +0.28 d) -0.93 e) +0.84 f) Now place these correlation coefficients in order from weakest to strongest relationship.