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- A researcher interested in the correlation between family size X annual income Y and parental education level Z produces the following correlation matrix x. y. z x +1.00. +0.32. +0.56 y. +0.32. +1.00. +0.88 z. +0.56. +0.88. +1.00 What is the correlation between annual income and parental education level?arrow_forwardA perfect straight line sloping downward would produce a correlation coefficient equal to: O A. -1 В. +1 C. -2 D. +2 Generally speaking, if two variables are unrelated (as one increases, the other shows no pattern), the covariance will be: O A. a large negative number B. a positive or negative number close to zero C. a large positive number D. none of the abovearrow_forward3. Let X be the nxp data matrix, define the deviation vector as d; = (x1j-Tj, ..., Xnj T;)'. Let 0 be the angle between the jth and Ith deviation vectors. Calculate the lengths of ||d;|| and cos(0). Relate these quantities to the sample covariance and sample correlation.arrow_forward
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- Consider the following simple linear regression. iid Y = Po + B₁X + e, e~ N(0,02), i 1,..., n.arrow_forwardLet X have a mean of 13 and a variance of 1.1. Let Y have a mean of 9.1 and a variance of 0.75. The covariance of x and y is 0.35. Let Z=4X – 5Y+2. What is the mean and variance of Z?arrow_forwardA. Describe the strength and direction of correlation of the following pairs of variables. Complete the table bellows and compute the value of correlation coefficient (r). Using the formula --- n(Exy) - (Ex)(Ey) √InEx²-(Ex)²] [nEy²-(Ey)²] 1. The following are the ages of (X) of the babies in months and their heights (Y) in centimeters. Determine if there is a relationship between their ages and heights. Baby X Y 36 86 48 90 51 91 54 93 57 94 60 95 ABCDEFarrow_forward
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