Let Age (the Explanatory Variable) represent the age of seven randomly selected men and let CholesterolLevel (the Response Variable) represent the corresponding cholesterol measurements of these men. Age: 39, 52, 47, 43, 63, 58, 69 CholesterolLevel: 189, 238, 220, 215, 244, 236, 248 As per the computed Regression Line what is the predicted cholesterol level for a man who is 60 years old? A 239.2409 B 185.6739 C 196.0336 D 235.8912

The systolic blood pressure of individuals is thought to be related to both age and weight. Let the systolic blood pressure, age, and weight be represented by the variables x1, x2, and x3, respectively. Suppose that Minitab was used to generate the following descriptive statistics, correlations, and regression analysis for a random sample of 15 individuals.  Descriptive Statistics Variable N Mean Median TrMean StDev SE Mean x1 15 157.63 157.73 157.63 3.456 0.892335 x2 15 62.26 62.76 62.26 1.356 0.350118 x3 15 167.50 166.50 167.50 4.055 1.046996 ​ Variable Minimum Maximum Q1 Q3 x1 123 179 139.036 166.522 x2 42 87 47.988 77.501 x3 121 237 143.387 222.976 ​ Correlations (Pearson)   x1 x2 x2 0.863   x3 0.828 0.641 Regression Analysis  The regression equation is  x1 = 0.858 + 0.812x2 + 0.528x3  ​ Predictor Coef StDev T P Constant 0.858 0.723 1.19 0.129 x2 0.812 0.759 1.07 0.153 x3 0.528 0.464 1.14 0.139 S = 0.132 R-sq = 96.1 % R-sq(adj) =…

Listed below are paired data consisting of amounts spent on advertising (in millions of dollars) and the profits (in millions of dollars). Determine if there is a significant positive linear correlation between advertising cost and profit . Use a significance level of 0.05 and round all values to 4 decimal places. Advertising Cost Profit 3 23 4 20 5 27 6 25 7 30 8 23 9 21 10 23 11 33 12 29 Find p value.

Write a sentence to explain the meaning of the standard error of the slope of the regression​ line, SEb1=1.581​, and the corresponding​ P-value.