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Compute the Sum of Squared Residuals
-The Regression Line for the Given

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Compute the Sum of Squared Residuals
-The regression line for the given data is y^=1.488x+60.46\hat { y } = 1.488 x + 60.46 . Determine the residual of a data point for which x=x = 65 and y=152y = 152 .
 Age, x384145485153576165 Pressure, y116120123131142145148150152\begin{array}{l|c|c|c|c|c|c|c|c|c|}\hline \text { Age, } \mathrm{x} & 38 & 41 & 45 & 48 & 51 & 53 & 57 & 61 & 65 \\\hline \text { Pressure, } \mathrm{y} & 116 & 120 & 123 & 131 & 142 & 145 & 148 & 150 & 152\end{array}

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Definitions:

Trend Model

A statistical model that captures the underlying trend of a dataset by considering the long-term progression of data points.

Annual Time-Series

Data collected or recorded at regular intervals over a year, used in statistical analysis and forecasting.

Exponential Smoothing

A weighted moving average technique that applies decreasing weights to older data points, used for time-series data analysis.

Recent Data

Recent Data refers to the latest or most contemporary data available in a dataset, useful for making current analyses or predictions.

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