PS7 JR - omh blablabla jujuju jajajajja omgggg this is so fucking omg i know i know putain PDF

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Joan Recasens Garcia; NIUB:20458664 Question 1: Covariance: Correlation coefficient: Scatterplot:

57,112 0,214

1400

y = 29,42x + 187,95 R² = 0,0457

1200

GASTIV

1000 800 600 400 200 0 0

1

2

3

4

5

6

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NPERSONAS

Interpretation: There is a positive association between these two variables as the correlation is positive and closer to 0 than 1. So the higher NPERSONAS is, the more GASTIV, althought such linear association. But it is not that clear, as can be seen in some parts of the scatterplot.

Question 2: Slope (b): Interception (a): Regression equation:

29,42 187,955 Y = 187,955 + 29,42*X

Question 3: For each member that we add to the household, we can expect the housing costs increase on average by 29,42. Question 4: Coefficient determination (R2):

0,046

Interpretation: The godness of fit of this regression is neutral (non low, non high). It means that the average housing cost depends, on the number of members in the household in an important way, but among other few fators.

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Joan Recasens Garcia; NIUB:20458664 Question 5: Y = 187,955 + 29,42*5 Y = 335,055 Prediction: We expect the housing costs in a household with 5 individuals, to be 335,054...