Write down linear equation for regressions

Assignment Help Macroeconomics
Reference no: EM131163634

Consider the following data set:

Y1

Y2

X1

X2

X3

X4

125

113

13

18

25

11

158

115

39

18

59

30

207

126

52

50

62

53

182

119

29

43

50

29

196

107

50

37

65

56

175

135

64

19

79

49

145

111

11

27

17

14

144

130

22

23

31

17

160

122

30

18

34

22

175

114

51

11

58

40

151

121

27

15

29

31

161

105

41

22

53

39

200

131

51

52

75

36

173

123

37

36

44

27

175

121

23

48

27

20

162

120

43

15

65

36

155

109

38

19

62

37

230

130

62

56

75

50

162

134

28

30

36

20

153

124

30

25

41

33

Where:

Y1 - A measure of success in graduate school.

Y2 - Score of grad school on a major review paper.

X1 - A measure of intellectual ability.

X2 - A measure of "work ethic."

X3 - A second measure of intellectual ability.

X4 - A measure of spatial ability.

Write down the linear equation for both regressions

Which factors seems to have significant impact on success in graduate school

Which factors have significant impact on school ranking?

Are those the same factors? How do you interpret the discrepancy?

Reference no: EM131163634

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