1. Given that the correlation between X and Y is -0.48, the mean and standard deviation of X are 3.4 and 8.3, the mean and the standard deviation of Y is 6.5 and 7.2 respectively. Find the slope for the line of best fit.
2. Given that the correlation between X and Y is -0.48, the mean and standard deviation of X are 3.4 and 8.3, the mean and the standard deviation of Y is 6.5 and 7.2 respectively. Find the y-intercept for the line of best fit.
3. Linear model:
predicted grade = 93 - 3 * (number of shows watched)
r = - 0.8
4. How much variation is accounted for by the
model?
predicted y = - 3.84 * x + 7.81
R2 = 49%
The correlation between X and Y is ____.
5. predicted y = 2.2 + 1.2 x
R2 = 77.44%
The sum of all 56 residuals is ____.
1).given data are:-
the slope be:-
2).the y intercept be:-
3). predicted grade = 93 - 3 * (number of shows watched) , r = - 0.8
variation is accounted for by the model is :-
or 64 %
4).given that,
% = 0.49
The correlation between X and Y is:-
5).The sum of all 56 residuals is 0.
[ because we know that sum of residuals is always zero.]
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