Question

This type of dataset is best described as a ____ and a residual problem common with this type of data is ___

		Cross-sectional data; heteroscedasticity
		Time series data; heteroscedasticity
		Cross-sectional data; residual correlation
		Time series data; residual correlation
		Cross-sectional data; multicollinearity
		None of the above Age Temp Length 1 14 25 620 2 28 25 1,315 3 41 25 2,120 4 55 25 2,600 5 69 25 3,110 6 83 25 3,535 7 97 25 3,935 8 111 25 4,465 9 125 25 4,530 10 139 25 4,570 11 153 25 4,600 12 14 27 625 13 28 27 1,215 14 41 27 2,110 15 55 27 2,805 16 69 27 3,255 17 83 27 4,015 18 97 27 4,315 19 111 27 4,495 20 125 27 4,535 21 139 27 4,600 22 153 27 4,600 23 14 29 590 24 28 29 1,305 25 41 29 2,140 26 55 29 2,890 27 69 29 3,920 28 83 29 3,920 29 97 29 4,515 30 111 29 4,520 31 125 29 4,525 32 139 29 4,565 33 153 29 4,566 34 14 31 590 35 28 31 1,205 36 41 31 1,915 37 55 31 2,140 38 69 31 2,710 39 83 31 3,020 40 97 31 3,030 41 111 31 3,040 42 125 31 3,180 43 139 31 3,257 44 153 31 3,214

Answer 1

right choice is Cross-sectional data; multicollinearity

there is significant correlation between Age and length, so there is multicollinearity problem

the correlation matrix is given as

	Age	Temp	Length
Age	1
Temp	0	1
Length	0.879116	-0.18112	1