A linear regression of price

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  1. x3.00 3.25 3.50 3.75 4.00 4.25 4.50 4.75 5.00 y 3.05 2.96 3.07 3.00 2.99 2.96 2.97 2.99 2.98 The company expects that the
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  2. x2.00 2.25 2.50 2.75 3.00 3.25 3.50 3.75 4.00 y 5.41 5.73 5.04 4.90 4.78 4.52 4.66 5.77 3.95 The company expects that the
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  3. Linear RegressionUse linear regression to find the equation for the linear function that best fits this data. Round both numbers
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  4. can someone please help me fast before midnight.a)I need the correlation between x and y b)slope of linear regression c)y
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    2. john asked by john
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  5. A data set has the following point:(1,8)(2,7)(3,5) The slope of the linear regression line is -1.5 Find the y-intercept of the
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    2. Juan asked by Juan
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  6. A data set has the following points:(0, 2), (4, 1), (6, 0) The slope of the linear regression line is -0.32. Find the
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    2. J asked by J
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  7. Consider the linear regression model introduced in the slides and lecture, restated below:Linear regression model : (\mathbf
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  8. A linear regression of price on square footage of homes for sale found the equation price = 30275 + 144*sqft. In this equation,
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    2. Macy asked by Macy
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  9. AVERAGE GAS PRICESColumbia, South Carolina Year Gas Price Year Gas Price 2002 $0.70 2007 $1.70 2003 $1.04 2008 $2.55 2004 $1.15
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  10. The following linear equation, y = b0 + b1x, is a regression line with y-intercept b0 and slope b1.Define These Terms 1)
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    2. Leslie asked by Leslie
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