The relationship between rainfall and the probability of flooding is given by the logistic regression p = 1 1+e-(a+br) Use the following data and regression method with a confidence level of 95% to select all true expressions about the model. r= Rainfall (mm) 200 250 280 300 325 350 380 400 p= Probability of flooding 0.02 0.09 0.12 0.3 0.4 0.7 0.9 0.93 Select one or more: O 1. The correlation of p and r is a strong negative correlation. 2. The estimation of p at r=360 is 0.78 3. The maximum error for the data happens at r=325 4. a 10.8431 and b = -0.0337 5. R-squared=0.99

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What does this data mean if the values are logistic regression analysis of presence of sarcopenia as the dependent variable   OR (95% CI) p-value 3.069 (1.42-6.62) 0.004

The​ least-squares regression equation is y=784.6x+12,431 where y is the median income and x is the percentage of 25 years and older with at least a​ bachelor's degree in the region. The scatter diagram indicates a linear relation between the two variables with a correlation coefficient of 0.7962. Predict the median income of a region in which 25​% of adults 25 years and older have at least a​ bachelor's degree.

Calculate the estimate of σε​ What is the estimated resting heart rate for someone who is a smoker (Smoke=1) and exercises 1 hour a day (Exercise=1)?

The data below is for a hypothetical study investigating the Systolic Blood Pressure (SBP) of construction workers. The table shows respective measurements of 20 workers along with hours of work per day and the area of the city the work took place. [You can use Excel-Data Analysis – Regression or http://vassarstats.net/multU.html] SBP Hrs/day Area 109.6 7 east 107.4 8 east 140.3 9 east 146.5 12 east 98.2 6 east 137.8 9 east 124.1 10 east 113.2 8 east 127.8 9 east 125.3 8 east 108.5 6 west 181.3 13 west 137.4 10 west 146.2 10 west 142.4 9 west 123.7 8 west 129.6 8 west 143.6 9 west 160.7 11 west 148.3 9 west   a) What is the regression equation?   b) Interpret the meaning of the slopes in this problem.   d)  At the 0.05 level of significance, determine whether each independent variable makes a contribution to the…

A linear regression model based on a random sample of 36 observations on the response variable and 4 predictors has a multiple coefficient of determination equal to 0.697. What is the value of the adjusted multiple coefficient of determination?

A professor obtains SAT scores and freshman grade point averages (GPAs) for a group of n=15 college students. The SAT scores have a mean of M=580 with SS = 22,400, and the GPAs have a mean of 3.10 with SS = 1.26, and SP = 84. Find the regression equation for predicting GPA from SAT scores. What percentage of the variance in GPAs is accounted for by the regression equation? (Compute the correlation, r, then find r2.) C) Does the regression equation account for a significant portion of the variance in GPA? Use alpha = 0.05 to evaluate the F-ratio. A) b=0.00375; a=0.925; Y (hat) = 0.00375X+0.925 B) r= 0.5 r^2= 0.25

A Bivariate Regression was conducted to evaluate the predictive relationship between total years of schooling and annual income. The results of the regression model were F(1,88) = 4.1, p < .05. What can be concluded about these results?   Group of answer choices total years of schooling is a significant predictor of annual income. total years of schooling is not a significant predictor of annual income.

what is the regression equation for all predictors? I