Question

 The population consisting of all married couples is collected. The data showing the age of 12 married couples is as follows:

Husband’s age (years) Wife’s age (years) Husband’s age (years) Wife’s age (years)
32 27 51 50
25 30 48 46
36 34 37 36
72 65 50 42
37 37 51 46
36 38 36 35

i) Draw a scatter plot of the data 

ii) Write two important characteristics of the data that emerge from the scatter plot. 

iii) Fit a linear regression model to the data and interpret the result in terms of the comparative change in the age of husband and wife. 

 

iv) Calculate the standard error of regression and the coefficient of determination for the data. 

10 Jan 2026
Answer :
Word Count : 295
Let husband’s age be denoted by (X) and wife’s age by (Y). The 12 observed pairs are ((32,27),(25,30),(36,34),(72,65),(37,37),(36,38),(51,50),(48,46),(37,36),(50,42),(51,46),(36,35)). (i) The scatter plot is obtained by plotting husband’s age on the horizontal axis and wife’s age on the vertical axis for each of the 12 couples. The plotted points lie close to an upward-sloping straight line. (ii) Two important characteristics emerging from the scatter plot are: • There is a strong positive linear association _______ ____ ________ _____ ___ ___ ___ _________.
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