My assignment is to analyze the data for the relationship between the two variables and answer the question. I ran the data in SPSS, now I need help in answering question #1. Can you please review my work and let me know if I have analyzed it correctly? Thank you!

This assignment involves looking at the relationship between two variables When we lool: at relationships it is important to consider whether a relationship exists, the strength of the relationship, the direction of the relationship and the nature of the relationship. Discuss the characteristics you have learned so far in 3.?er writeups. 1. Is there a relationship between a person's age lggecatl and how often they read a newspaper {news}? Run in SPSS and discuss the strength, direction, and nature of the relationship. Based on the data, it shows that there is a strong positive correlation between age and how often an individual reads the newspaper. The data shows that only 22.1% of individuals under the age of 25 read the paper daily. However, the percentage increased with age and showed that the highest number of individuals who read the paper daily is in the I55 and older category. There was no signicant increase between 35 to 54 years \"o'lg's, and there was a decrease in those aged 55-64, but still higher than those under 25 years of age. The direction between the two variables, age, and how often one reads the newspaper, shows a positive, strong linear relationship because when one variable changes, it affects the other variable. # 1 Case Processing Summary Cases Valid Missing Total N Percent N Percent N Percent How often does 1866 65.9% 966 34.1% 2832 100.0% respondent read newspaper * Age category How often does respondent read newspaper * Age category Crosstabulation Age category Less than 25 25 to 34 35 to 44 45 to 54 55 to 64 65 or older Total How often does Every day Count 34 10 164 162 124 214 respondent read % within Age category 22.1% 25.0% 36.7% 49 7% 58.5% 69.7% 43.0% newspaper Few times a week Count 53 113 125 61 37 29 418 9% within Age category 34.4% 26.9% 28.0% 18 7% 17.5% 9.4% 22.4% Count 26 100 72 54 10 23 294 Once a week 5 within Age category 16.9% 23.8% 16.1% 16.6% 7.5% 15.8% Less than once a week Count 26 65 21 22 202 % within Age category 16.9% 16.4% 12.3% 6.4% 10.4% 2.9% 10.8% Never Count 32 31 28 10 32 149 9% within Age category 9.7% 7.9% B.69% 1.79% 10.49% 3.0% Total Count 154 420 447 326 212 307 1866 % within Age category 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% 100.0% Symmetric Measures Asymptotic Approximate Standard Approximate Value Error Significance Ordinal by Ordinal Gamma .296 024 -12.540 4.001 N of Valid Cases 1866 a. Not assuming the null hypothesis. b. Using the asymptotic standard error assuming the null hypothesis