If two variables (x and y) have a very strong linear relationship, it can be inferred...
If two variables (x and y) have a very strong linear relationship, it can be inferred that a) y causes a change in x b) A third variable causes changes in x and y c) x causes a change in y d) There cannot be any causal relationship between x and y e) None of the above
Homework Answers
If two variable ( x and y ) have strong linear relationship , it can be reffred that " x causes a changes in y " .
explanation:
two variable strong linear relationship means they are positively corelated to each other if one variable is change then another variable also change in same direction . If x is change then it also causes in change of y .
Add Answer to:
If two variables (x and y) have a very strong linear
relationship, it can be inferred...
A) Assume a linear relationship between the variables Y and X , and that Y is...
A) Assume a linear relationship between the variables Y and X , and that Y is the variable measured on the vertical axis while X is the variable measured on the horizontal axis. A straight line describing this relationship has a y-axis intercept of 10 and a slope of -1.25. What is the equation for this line? B) Is the relationship between Y and X positive or negative? How can you tell just by looking at this equation? C) Use...
A) Assume a linear relationship between the variables Y and X , and that Y is...
A) Assume a linear relationship between the variables Y and X , and that Y is the variable measured on the vertical axis while X is the variable measured on the horizontal axis. A straight line describing this relationship has a y-axis intercept of 45 and a slope of 2. What is the equation for this line? B) Is the relationship between Y and X positive or negative? How can you tell just by looking at this equation? C) Based...
The data shown in the following scatterplot show a very nice relationship between the two variables....
The data shown in the following scatterplot show a very nice relationship between the two variables. However, the correlation here is 0.03, very close to zero. Explain why we can have a nice relationship between two quantitative variables and yet have a correlation of O 8 10 14 O There are no outliers but there are influential observations that cause the value of r to be near 0. 0 There are strong outliers that cause the value of to be...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...
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...
The following information regarding a dependent variable (Y in $1000) and an independent variable (X) is...
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...
a)If there is a strong correlation between two variables X and Y, can it be said...
a)If there is a strong correlation between two variables X and Y, can it be said that X causes Y or that Y causes X? Why or why not? b)Discuss what is meant by the term robust and how this concept relates to power.
Give an example of two variables that are correlated in a strong and positive direction and...
Give an example of two variables that are correlated in a strong and positive direction and two that are correlated in a strong a negative direction. Comment on any other factors that could influence their relationship and what can an cannot be inferred from these correlations.
1. When no linear relationship exists between variable X and variable Y, r equals which of...
1. When no linear relationship exists between variable X and variable Y, r equals which of the following? a) −∞-∞ b) -1 c) 0 d) +1 e) +∞+∞ 2. Pearson’s r correlation measures the relationship between which of the following? a) Two continuous variables b) Two categorical variables c) One continuous and one categorical variable
If one gets a very small p value for a correlation between two variables, does it indicate a strong relationship between the two variables?
If one gets a very small p value for a correlation between two variables, does it indicate a strong relationship between the two variables?
Equations: An equation with two variables, X and Y, is a simple way to show a...
Equations: An equation with two variables, X and Y, is a simple way to show a relationship given information about X, we can calculate the value (numerical amount) of Y. And every time calculate how much Y changes. For example, the equation Y 3(x) tells us that value of X. It means that every time X increases by 1, Y increases by 3. (substitute) the different values of X in the left-hand column of the table into the equation. of...
The data shown in the following scatterplot show a very nice relationship between the two variables. However, the correlation here is 0.03, very close to zero. Explain why we can have a nice relationship between two quantitative variables and yet have a correlation of O 8 10 14 O There are no outliers but there are influential observations that cause the value of r to be near 0. 0 There are strong outliers that cause the value of to be...
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...
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...
Equations: An equation with two variables, X and Y, is a simple way to show a relationship given information about X, we can calculate the value (numerical amount) of Y. And every time calculate how much Y changes. For example, the equation Y 3(x) tells us that value of X. It means that every time X increases by 1, Y increases by 3. (substitute) the different values of X in the left-hand column of the table into the equation. of...
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