Question 4
Once again I have been asked to use SPSS but if you cannot help then we
if you can provide the solutions and I will compare to the SPSS output
that I obtain
A newly born baby was weighed weekly, the figure adopted in each case
being the average of the weights on three successive days. Twenty such
weights are shown below, recorded in ounces. Fit to the data a quadratic
polynomial model. Test your model for adequacy of fit and for
appropriateness. (Note: Want to estimate weight given the age of the
baby.)
No. of week 1 2 3 4 5 6 7 8 9 10
Weight 141 144 148 150 158 161 166 170 175 181
No. of week 11 12 13 14 15 16 17 18 19 20
Weight 189 194 196 206 218 229 234 242 247 257
Question 5
A multiple regression model
E(Yt) = B0 + B1X1 + B2X2 + B3X3 + B4X4
A multiple regression model was used to study the number of requests for
information received at a tourist information centre during the last 40
quarters. The data are shown in the table below, with most of the
quarters omitted for brevity. Here Yt denotes thousands of requests
received in quarter t, X1 is a variable representing linear trend, and
X2 , X3 and X4 are indicator (dummy) variables representing the
quarterly seasonal effects.
6.86 11.68 4.32 6.20 ... 14.34 19.99 11.22 13.28
The estimated regression equation is:
explain?]
Statistics Homework Solutions
#4904
Regression
4. Fit to the data a quadratic polynomial model. Test your model for adequacy of fit and for appropriateness.
5. In which of the four quarters does the seasonal component reach its peak? In which does it reach its trough? Explain.
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