Help needed please!! I know it's not answer C (in a direction perpendicular to the line). I'm torn between B (in the Y dimension) or D (all of the above).
1. In predicting Y from X, the regression line is laid down so
that the squared discrepancies between points and the line are
minimized
(a) in the X dimension
(b) in the Y dimension
(c) in a direction perpendicular to the line
(d) in all of the above dimensions
The standard error of estimate measures variability of -
A. obtained scores around the regression. line
Help needed please!! I know it's not answer C (in a direction perpendicular to the line)....
Definition 1 Denote by Lra the straight line that is perpendicular to the direction [cos(a), sin(a)] and at distance r from the origin 0 (0,0). Thus (r, y) is on the line Lr,a if and only if r cos(a) +y sin(a) - Common choices are r E R and 0<a< T. Another potential choice might be r 2 0 and -<aT =r. Remark 2 The line Lr,a is a distance r from (0,0) in the direction perpendicular to [cos(a), sin(a)]....
Definition 1 Denote by Lra the straight line that is perpendicular to the direction [cos(a), sin(a)] and at distance r from the origin 0 (0, 0). Thus (r, y) is on the line Lr.a if and only if r cos (a) y sin(a) = Common choices are r E R and 0 a<T. Another potential choice might be r 2 0 and -T < a < T. Remark 2 The line Lra is a distance r from (0,0) in the...
Definition 1 Denote by Lra the straight line that is perpendicular to the direction [cos(a), sin(a) and at distance r from the origin 0= (0,0). Thus (z, y) is on the line Lra if and only if r cos(a)+y sin(a) r Common choices are r E R and 0 a<. Another potential choice might be r2 0 and -T<asT. Remark 2 The line Lra is a distance r from (0,0) in the direction perpendicular to [cos(a), sin(a)] Consequently, the point...
Definition 1 Denote by Lra the straight line that is perpendicular to the direction [cos(a), sin(a) and at distance r from the origin 0= (0,0). Thus (z, y) is on the line Lra if and only if r cos(a)+y sin(a) r Common choices are r E R and 0 a<. Another potential choice might be r2 0 and -T<asT. Remark 2 The line Lra is a distance r from (0,0) in the direction perpendicular to [cos(a), sin(a)] Consequently, the point...
Question 2 (5%). Let L be a line in 3D such that it is perpendicular to the plane X - Y - z = 1. Choose the correct answer for vectors which are perpendicular to L. (A) All normal vectors of the plane X – Y – z = 10. (B) All normal vectors of the plane x + 2y + 3z = 3. (C) All vectors parallel to the line (-1,-1,1) ++(-1,-1,1). (D) All vectors parallel to the line...
please help me to solve part b and c .
and please dont copy my answer in part a and then post it as
an answer.
thanks
Consider two separate linear regression models and For concreteness, assume that the vector yi contains observations on the wealth ofn randomly selected individuals in Australia and y2 contains observations on the wealth of n randomly selected individuals in New Zealand. The matrix Xi contains n observations on ki explanatory variables which are believed...
There are greater errors in predicting Y from X when A. None of the above. B. All of the above. C. The slope of the regression line is closer to 0. D. The correlation coefficient is closer to 0. E. There is greater spread of Y scores around the regression line.
3. Use the data table below to answer the following questions: (a) The least absolute deviation line for the data in the table is y - 1.5x +17. What is the sum of the absolute deviations? (b) Find the median-median regression line for the data in the table. (c) Using the equations for the least absolute deviation line and the median-median regression line determine which model does a better job of predicting the y-value for x 11.* 21 20 38...
I know it's a long question but if you could answer all
parts of it that'd be awesome!!
5) So far in class we have examined the force exerted by a dipole. Now what about the force exerted on a dipole? qc Let's model a dipole as a negative (qA) and a positive (qB) charge linked by a solid bar of length 2L that won't stretch or compress. There is a nearby negative charge (qc) that is a distance d...
The least squares regression line minimizes the sum of theA. Sum of Differences between actual and predicted Y valuesB. Sum of Squared differences between actual and predicted X valuesC. Sum of Absolute deviations between actual and predicted X valuesD. Sum of Absolute deviations between actual and predicted Y valuesE. Sum of Squared differences between actual and predicted Y values