Use the regression output below to answer the following questions.
Lingar Reperaidion Anthyis: Dep Var
(X) = Weight X={A Ee, Gender, Heifht, MBA, Y ear }
Coefficients Intercept Age Gender Height MBA Year b−210.6030.66017.4494.999−3.122−0.111 Std. Error 20.5600.2792.4500.2943.0630.507 Std. Beta 0.1010.2670.613−0.043−0.006t-test Statistic −10.2432.3637.12216.982−1.019−0.218p-value Two Tailed 0.00000.01860.00000.00000.30870.8274
r0.834r20.696 Adj. r20.693 SE(Reg) 17.879n448
Source of Variation Regression Error Total Sum of Squares 323592.24141282.23464874.47 df 5442447 Mean Squares 64718.4319.643F-test Statistic 202.471p-value One Tailed 0.0000
-In using Poisson regression,the researcher also must know
One Dimensional Array
A data structure that contains a sequence of elements accessible by a single index, representing a linear collection of elements.
Array of Arrays
A data structure where each element is itself an array, allowing for multi-dimensional arrays.
Array Name
The Array Name refers to the identifier given to an array, allowing access to its elements through indexing.
Memory Address
A unique identifier for a specific location in memory where data is stored.