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(also how do i justify my claim saying that there is a relationship between weight and bloodpressure using statistical concepts such as regression) please help, ive been stuck on this for a while
Scatterplot Data: Statistic Value Pearson Correlation Coefficient 0.05 1st 3rd Mea Std. Minimu Quarti Medi Quart Maximu Varia
. For the first individual from whom you collected information, find the predicted value of y using the least squares equatio
Scatterplot Data: Statistic Value Pearson Correlation Coefficient 0.05 1st 3rd Mea Std. Minimu Quarti Medi Quart Maximu Variable nn le an IQR Weight6 737 67.045.30056 55064.40 72.800 576000 162 (Kg) 0 0316 0 Diastolic6 836 565 62.000 81.000 85 0087 000 95.000600 BP 0 67 0
. For the first individual from whom you collected information, find the predicted value of y using the least squares equation and then find the residual using the equation for the residual Show your work. (might have to write this out) Scatterplot analyzation
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    Scatterplot analyzation Scatterplot Data: Value Statistic 0.05 3rd 1st Mea Std. Minimu Quarti Medi Quarti Maximu IQR le le an Dev. Variable nn Weight 6 73.7 67.0 45.300 56.550 64.40 72.800 576.000 16.2 0 0 0316 (Kg) Diastolic 6 836 565 62.000 81.000 8500 87.000 95.000 6.00 0 673 BP (mmiHg) Slope & Interpretation: Y-intercept & Interpretation: Correlation coefficient& Interpretation: 0.059 RA2 & Interpretation: For the first individual from whom you collected information, find the predicted value of y using...

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