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A Confidence Interval for The yy -Intercept β0\beta _ { 0 }

question 113

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A confidence interval for the yy -intercept β0\beta _ { 0 } for a regression line y=β0+β1xy = \beta _ { 0 } + \beta _ { 1 } x can be found by evaluating the limits in the interval below:
b0E<β0<b0+E,\mathrm { b } _ { 0 } - \mathrm { E } < \beta _ { 0 } < \mathrm { b } _ { 0 } + \mathrm { E } ,
where E=(tα/2) se1n+x2/[x2(x) 2/n]\mathrm { E } = \left( \mathrm { t } _ { \alpha / 2 } \right) \mathrm { se } \sqrt { \frac { 1 } { \mathrm { n } } + \overline { \mathrm { x } } 2 / \left[ \sum \mathrm { x } ^ { 2 } - \left( \sum \mathrm { x } \right) ^ { 2 } / \mathrm { n } \right] } .
The critical value tα/2t _ { \alpha / 2 } is found from the tt -table using n2n - 2 degrees of freedom and b0b _ { 0 } is calculated in the usual v from the sample data.
Use the data below to obtain a 95%95 \% confidence interval estimate of β0\beta _ { 0 } .
x (hours studied)  2.54.55.17.911.6y (score on test)  6670608393\begin{array}{c|ccccc}\mathrm{x} \text { (hours studied) } & 2.5 & 4.5 & 5.1 & 7.9 & 11.6 \\\hline \mathrm{y} \text { (score on test) } & 66 & 70 & 60 & 83 & 93\end{array}


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Asset Acquisition

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Straight-Line Depreciation

Straight-line depreciation is an accounting method wherein an asset's cost is evenly distributed over its estimated useful life, leading to a consistent depreciation expense each year.

Salvage Value

The calculated return value of an asset at the end of its functional life.

Useful Life

The period over which an asset is expected to be useful in the operations of a business.

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