1969 1974 1979 1984 1989 1994 1999 2004 2009 2014 50th 47,896 48,483 50,030 48,650 53,290 50,968 57,826 55.569 54,944 53,657 Percentile 1. Using R software or EXCEL, find the equation of the best fit line using a least squares linear regression model for the data with h representing the Household Income and t representing the year since 1969, 2. Use the equations found in part (1), to predict the 50th percentile Household Income in 2017. Explain why the model may or may not be accurate predictor for Household Income in the year 2017. 3. Use the equations found in part (1), to predict the 50th percentile Household Income in 2025. Explain why the model may or may not be accurate predictor for Household Income in the year 2025.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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1969
1974
1979
1984
1989
1994
1999
2004
2009
2014
50th
47,896 48,483 50,030
48,650
53,290
50,968
57,826 55.569
54,944
53,657
Percentile
1. Using R software or EXCEL, find the equation of the best fit line using a least
squares linear regression model for the data with h representing the Household
Income and t representing the year since 1969,
2. Use the equations found in part (1), to predict the 50th percentile Household
Income in 2017. Explain why the model may or may not be accurate predictor for
Household Income in the year 2017.
3. Use the equations found in part (1), to predict the 50h percentile Household
Income in 2025. Explain why the model may or may ot be accurate predictor for
Household Income in the year 2025.
Transcribed Image Text:1969 1974 1979 1984 1989 1994 1999 2004 2009 2014 50th 47,896 48,483 50,030 48,650 53,290 50,968 57,826 55.569 54,944 53,657 Percentile 1. Using R software or EXCEL, find the equation of the best fit line using a least squares linear regression model for the data with h representing the Household Income and t representing the year since 1969, 2. Use the equations found in part (1), to predict the 50th percentile Household Income in 2017. Explain why the model may or may not be accurate predictor for Household Income in the year 2017. 3. Use the equations found in part (1), to predict the 50h percentile Household Income in 2025. Explain why the model may or may ot be accurate predictor for Household Income in the year 2025.
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