Please solve this question- Consider the linear regression model y = - 1.5x + 5.6 + e, where e is a normal random variable with mean 0 and variance O ^ 2 = 4 Determine the mean and standard deviation of when x = 2 and x = 4.5
Say for example Y = number of rooms. And we get Y=1.234 from the regression line for a certain X value. How can we mark this on our scatter diagram? Is it 1 because "number of rooms" cannot have fractions? Or do we mark the exact value we get?
Once you get the slope (^a) you don't really need the formula to calculate the intercept (^b). Just use the mean values of x, y and plug the slope in the line equation: y_mean = ^a * x_mean + ^b. Here, we have, y_mean = 20/6, x_mean = 19/6 and slope(^a) = 0.9324. So, we get intercept (^b) = y_mean - ^a * x_mean = 20/6 - 0.0324 * 19/6 = 0.380733
hey thanks you really helped me with the work i needed to get done because the formula the prof gave me would not give me the answers i needed and yours did so thanks alot
Nice video Its great But there is a little bit mistake that you made, when you was finding a^ instead of putting value of submission(xy) you put value of x square. Again thanks for this good video!!!
it seems that the formula used to calculate constant a is that could be used for b, the lecture should check, otherwise we should be confused or taking wrong lesson
Thank you for posting this example of the correlation and Linear Regression. My question is this, can you please show on the calculator how you came up with the answers to the equation? I've tried to use my own calculator to see how you came up with the answer and have had no luck. I keep coming up with the incorrect answer.
Research by Huhtaniemi et al. (A-19) focused on the quality of serum luteinizing hormone (LH) during pubertal maturation in boys. Subjects, consisting of healthy boys entering pubeny (ages 11 years. 5 months to 12 years), were studied over a period of 18 months. The following are the concentrations (TUL) of bioactive LH (B-LH) and immunoreactive LH (1-LH) in serum samples taken from the mbjects. Only observations in which the subjects' B/ ratio was greater than 3.5 are reported here Can someone please solve it
The sample standard deviation is divided by n-1. The reason is that it makes the sample variance an unbiased estimator of the population variance. This means that the expected value of s^2 is equal to sigma^2. Always be careful differentiating between the sample variance and the population variance.
what is the relationship between correlation and regression? is it correct to say that if two variables are strongly correlated then linear regression analysis can be used to predict the value of independent variable?