Regression models between literacy rate and income
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A convenience sample of 293 ambulatory women patients, all older than 65 years of age, were surveyed in a general medicine clinic. Correlation (r), multiple regression analysis (MRA), and novometric analysis were used to model the relationship of scores (even integers) on the TOFHLA literacy measure (the dependent or class variable) with age (recorded to two significant digits to the right of the decimal) and income (measured as 1 to 8, inclusive, integer annual increments of $10,000). Regression- and novometric-based findings are contrasted.
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