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The table shows 10 observations of pair of variables x y Variables x and y positive correlated Corr Coefficient of 0point977 Find slope b x 1 2 3 4 5 6 7 8 9 11 y 2 4 5 8 9 12 13 14 15 16?
Wiki User
∙ 9y ago
i believe its 1.6121
apex
Wiki User
∙ 9y ago
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Is women's intelligence proportional to the length of her skirt?
Skirt lengths and intelligence are randomly correlated having a correlation coefficient of zero to plus 0.15 ie knowing the measure of one does not predict the value of the other--they are independent variables. To say such and such are not correlated is to say you have not compared the variables. They may have identity with a value of plus one, or they may be inversely related having a value of negative one, or they may be randomly correlated with a value of zero--but to compare is to correlate.
What is the slope b of the least squares regression line y equals a plus bx for these data?
The graph and accompanying table shown here display 12 observations of a pair of variables (x, y).The variables x and y are positively correlated, with a correlation coefficient of r = 0.97.What is the slope, b, of the least squares regression line, y = a + bx, for these data? Round your answer to the nearest hundredth.2.04 - 2.05
Two variables that are likely to be correlated?
Height and Weight.
Do two variables that are significantly correlated share a variance?
No, they do not.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What are the values of coefficient of correlation between perfectly correlated variables?
1 or -1
If two variables are highly correlated the correlation coefficient will be at or near zero-true or false?
If two variables are highly correlated, the Pearson correlation will be close to -1.0 or +1.0. A correlation of zero shows no relationship.
How can you determine whether two variables x and y for a real life situation are correlated?
You calculate a correlation coefficient and test to see if it is statistically different from 0.
Is women's intelligence proportional to the length of her skirt?
Skirt lengths and intelligence are randomly correlated having a correlation coefficient of zero to plus 0.15 ie knowing the measure of one does not predict the value of the other--they are independent variables. To say such and such are not correlated is to say you have not compared the variables. They may have identity with a value of plus one, or they may be inversely related having a value of negative one, or they may be randomly correlated with a value of zero--but to compare is to correlate.
What is the slope b of the least squares regression line y equals a plus bx for these data?
The graph and accompanying table shown here display 12 observations of a pair of variables (x, y).The variables x and y are positively correlated, with a correlation coefficient of r = 0.97.What is the slope, b, of the least squares regression line, y = a + bx, for these data? Round your answer to the nearest hundredth.2.04 - 2.05
If two graphs have exactly the same shape what can you tell about the variables?
The two variables are correlated.
Two variables that are likely to be correlated?
Height and Weight.
Do two variables that are significantly correlated share a variance?
No, they do not.
What variables are correlated?
The number of TV sets in the UK and my age.
If coefficient of correlation r between two variables is zero does it mean that there is no relationship between the variables Justify your answer?
"If coefficient of correlation, "r" between two variables is zero, does it mean that there is no relationship between the variables? Justify your answer".
What pairs of variables is negatively correlated?
The number of times a pencil is sharpened and its length
What is the coefficient for z in 3 plus z?
3 + z All variables if they have no visible coefficient have an implied coefficient of 1.
