We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is the coefficient of correlation for this data?
The formula for correlation coefficient r is given as below:
Correlation coefficient = r = [n∑xy - ∑x∑y]/sqrt[(n∑x^2 – (∑x)^2)*(n∑y^2 – (∑y)^2)]
From given information, we have
n = 10
∑x = 683
∑y = 813
∑x^2 = 47405
∑y^2 = 66731
∑xy = 56089
r = [n∑xy - ∑x∑y]/sqrt[(n∑x^2 – (∑x)^2)*(n∑y^2 – (∑y)^2)]
r = [10*56089 - 683*813]/sqrt((10*47405 - 683^2)*(10*66731 - 813^2))
r = 5611 / 6924.182
r = 0.810348
Correlation coefficient = r = 0.810348
We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1...
We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is an approximate 99% confidence interval for the intercept of the line of best fit? We have a dataset with n= 10 pairs of observations (ri, Yi), and n n Σ Xi = 683, 2 yi...
We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is the line of best fit for this data? We have a dataset with n = 10 pairs of observations (xi, Yi), and n n Xi = = 683, si = = 813, i=1 n n...
We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is an approximate 95% prediction interval for the response y0 at x0 = 60? We have a dataset with n= 10 pairs of observations (li, Yi), and n n Ii 683, Yi = 813, i=1 п...
We have a dataset with n = 10 pairs of observations (xi; yi), and Xn i=1 xi = 683; Xn i=1 yi = 813; Xn i=1 x2i = 47; 405; Xn i=1 xiyi = 56; 089; Xn i=1 y2 i = 66; 731: What is an approximate 95% confidence interval for the mean response at x0 = 90? We have a dataset with n = 10 pairs of observations (li, Yi), and n n Σ Xi = 683, Yi =...
We have a dataset with n = 10 pairs of observations (li, yi), and η Σ α: = 683, Σμι = 813, i=1 η i=1 η Σ? = 47, 405, Σαιξε = 56, 089, Συ - Συ? = 66, 731. i=1 What is an approximate 99% confidence interval for the mean response at xo = 90?
We have a dataset with n = 10 pairs of observations (Li, Yi), and Στη = 683, Σμι = 813, 1=1 i=1 η η Σ? = 47, 405, Σigi = 56, 089, Συ? = 66, 731. i=1 i=1 i=1 What is an approximate 95% prediction interval for the response yo at Xo = 90?
25. Short Answer Question We have a dataset with n = 10 pairs of observations (Xi, Yi), and n n Σ I i 683, ΣΨ = 813, i=1 1=1 n η Στ? = 47, 405, Στ:9: 56, 089, Συ? = 66, 731. Σ - 1=1 i=1 i=1 What is the line of best fit for this data?
- Short Answer Question We have a dataset with n = 10 pairs of observations (xi, yi), and n n <; = 683, Yi = 813, i=1 n n x1 = 47, 405, Xiyi = 56, 089, 4 = 66, 731. i=1 i=1 i=1 What is the coefficient of correlation for this data?
We have a dataset with n = 10 pairs of observations (li, Yi), and n Xi = 683, 683, { y = 813, i=1 i=1 n n n x} = 47, 405, Xiyi = 56,089, y = 66, 731. i=1 i=1 i=1 What is the coefficient of correlation for this data?
We have a dataset with n = 10 pairs of observations (li, yi), and Στ. = 683. Σ - 683, Σμι = 813, i=1 i=1 Σ? = 47, 405, Στ.μ. = 56, 089, Συ? = 66, 731. i=1 What is an approximate 95% confidence interval for the intercept of the line of best fit?