An article used a multiple regression model with four independent variables to study accuracy in reading...

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An article used a multiple regression model with fourindependent variables to study accuracy in reading liquid crystaldisplays. The variables were
y = error percentage for subjects reading a four-digit liquidcrystal display
x₁ = level of backlight (ranging from 0 to 122cd/m²)
x₂ = character subtense (ranging from 0.025Â° to 1.34Â°)
x₃ = viewing angle (ranging from 0Â° to 60Â°)
x₄ = level of ambient light (ranging from 20 to 1500 lux)
The model fit to data was Y = Î²₀ +Î²₁x₁ +Î²₂x₂ +Î²₃x₃ +Î²₄x₄ + Îµ. Theresulting estimated coefficients were ₀ = 1.52,₁ = 0.01, ₂ = âˆ’1.40, ₃ = 0.02,₄ = âˆ’0.0009.
(a) The estimated model was based on n = 30observations, with SST = 39.5 and SSE = 22. Calculate thecoefficient of multiple determination. (Round your answer to threedecimal places.)
(b)Calculate the test statistic using Î± = 0.05. (Round youranswer to two decimal places.)

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a SST 395 and SSE 22 where SST is total sum of square and SSE is Residual sum of squares SSR SST SSE 395 22 175 where SSR is Regression sum of squares Coefficient See Answer

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y =	error percentage for subjects reading a four-digit liquidcrystal display
x₁ =	level of backlight (ranging from 0 to 122cd/m²)
x₂ =	character subtense (ranging from 0.025Â° to 1.34Â°)
x₃ =	viewing angle (ranging from 0Â° to 60Â°)
x₄ =	level of ambient light (ranging from 20 to 1500 lux)