Below is a screenshot of a multiple linear regression you co…

Below is a screenshot of a multiple linear regression you colleague has run.  She is trying to predict the sale price of real estate, given a few factors: * the Lot Size, given in square units * Whether or not the house is in the water district or not (if not, they need their own well water) * How many minutes it is to drive downtown during rush hour * The schools rating (higher is better) She has run the following multiple linear regression output in Excel.  Write a brief essay evaluating how good this regression model is.  Use a 95% level of statistical significance (so alpha = 0.05.)  Make sure you address issues of statistical significance, outliers, and anything else.  You should answer the question:  is this model pretty good as it is, or if changes need to be made, what and why? Regression input: Problem B1 regression input.PNG Regression Output: Problem B2 regression output.png Problem B3 regression output.png Problem B4 regression output.png

A 47-year-old female who is 155 cm (5 ft 2 iin) tall and wei…

A 47-year-old female who is 155 cm (5 ft 2 iin) tall and weighs 70 kg (155 lb) is receiving PC A/C ventilation after abdominal surgery. Ventilator settings and blood gas analysis results are: FIO2 0.50   pH 7.50 Mandatory rate 14   PaCO2 30 mm Hg Total rate 14   PaO2 107 mm Hg Insp Press 24 cmH2O   HCO3- 22 mEq/L VT  560 mL   BE 0 mEq/L       SaO2 (calc) 98% A respiratory therapist should

A 171-cm (5-ft 7-in), 65-kg (142-lb) 43-year-old female is r…

A 171-cm (5-ft 7-in), 65-kg (142-lb) 43-year-old female is receiving PC, SIMVventilation. The following data are available: FIO2 0.40   pH 7.52 Mandatory rate 12   PaCO2 26 mm Hg Total rate 12   PaO2 110 mm Hg Set inspiratory pressure 18 cm H2O   HCO3 – 21 mEq/L Exhaled VT 680 mL   BE 0 mEq/L I:E 1:4   SaO2 (calc) 98% PEEP 10 cm H2O       A respiratory therapist should recommend decreasing the