Paper Writing Services and adjusted -square for all independent variables entered simultaneously? 4. What variable(s) provide a significant unique contribution(s)? 5. Compose a results section

Abstract
General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data: Socioeconomic status (1–7 rating of occupation; gher ratings indicate gher levels of SES) Age in 1970 Optimism in 1970 (1–100 rating, gher scores indicate gher levels of optimism) Longevity

A cancer specialist from the Los Angeles County General Hospital (LACGH) rated patient optimism in 20- to 40-year-old male patients with incurable cancer in 1970. In 1990, the researcher examined hospital records to gather the following data: Socioeconomic status (1–7 rating of occupation; gher ratings indicate gher levels of SES) Age in 1970 Optimism in 1970 (1–100 rating, gher scores indicate gher levels of optimism) Longevity (years lived after the 1970 diagnosis) Using the SPSS data file for Module 7 (located in Topic Materials ), calculate a simultaneous multiple regression with SES, age, and optimism as the independent variables and longevity as the dependent variable. 1. Do the independent variables correlate statistically significantly and practically with the dependent variable? 2. Is collinearity between the independent variables a concern? 3. What is the and adjusted -square for all independent variables entered simultaneously? 4. What variable(s) provide a significant unique contribution(s)? 5. Compose a results section for ts statistical analysis.

Sample references
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