(b) The table below shows the HDB resale price index for Q1 from year 2002 to 2022 (4 years interval) (i) (ii) Year, t (20xx) 02 06 10 14 18 22 HDB resale price index 69.1 73.6 112.1 143.5 131.4 159.5 Table Q3(b) Use linear regression by minimizing the SSE, obtain the linear function I(t) for estimating the above data set. Plot both the data set and your prediction equation I(t) using a graph plotter. Estimate the year that the price index will hit 200, assuming the trend stays intact.
(b) The table below shows the HDB resale price index for Q1 from year 2002 to 2022 (4 years interval) (i) (ii) Year, t (20xx) 02 06 10 14 18 22 HDB resale price index 69.1 73.6 112.1 143.5 131.4 159.5 Table Q3(b) Use linear regression by minimizing the SSE, obtain the linear function I(t) for estimating the above data set. Plot both the data set and your prediction equation I(t) using a graph plotter. Estimate the year that the price index will hit 200, assuming the trend stays intact.
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 1TI: Table 2 shows a recent graduate’s credit card balance each month after graduation. a. Use...
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![(b)
The table below shows the HDB resale price index for Q1 from year 2002 to 2022 (4
years interval)
(i)
(ii)
Year, t (20xx) HDB resale price index
02
69.1
06
73.6
10
14
18
22
112.1
143.5
131.4
159.5
Table Q3(b)
Use linear regression by minimizing the SSE, obtain the linear function I(t) for
estimating the above data set.
Plot both the data set and your prediction equation I(t) using a graph plotter.
Estimate the year that the price index will hit 200, assuming the trend stays
intact.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb6f0fc2b-ed06-42f6-aea2-7d26d8b1334d%2F539c66d0-5698-4d0f-aa59-d5eedb975d23%2Fi30vx4oj_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(b)
The table below shows the HDB resale price index for Q1 from year 2002 to 2022 (4
years interval)
(i)
(ii)
Year, t (20xx) HDB resale price index
02
69.1
06
73.6
10
14
18
22
112.1
143.5
131.4
159.5
Table Q3(b)
Use linear regression by minimizing the SSE, obtain the linear function I(t) for
estimating the above data set.
Plot both the data set and your prediction equation I(t) using a graph plotter.
Estimate the year that the price index will hit 200, assuming the trend stays
intact.
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