Project title:

Student Name:

Student id number:

Professor’s name:

Date of Submission:

Table of Contents

1. Executive Summary 3

2. Introduction 4

3. Impact of age on increasing weight 4

4. Regression: 4

5. Correlation: 6

6. Conclusions 7

7. Recommendations 8

8. References 9

Executive Summary

There is a gradual increase in the weight of the person as they are aging. There is an intricate relationship between aging and increasing weight. It has different effects on different people. But, in majority of the cases, it is found to be increasing with the age. It has to be established through a research where regression as well as correlation analysis has been carried out. It has been observed that there are two variables in the regression analysis where it refers to the development of an independent variable on the basis of which there is a dependent variable. There are two elements that are related to the impact of age on weight that have been identified and discussed. On the other hand, there is a correlation analysis developed on the basis of linear association that is obtained between two variables. it consists of developing a correlation coefficient for the two variables and the relationship between them.

Introduction

With the advancement in technology, there has been tremendous increase in the comfort that is provided to the people. As a result of which, there is hardly any physical activity carried by the people, especially during their old age, once they stopped working. It leads to severe disorders, knee damaging and other serious health related problems for the people whose weight is continuously increasing with age. There are special steps that are to be taken and ensured for solving the problem of increasing weight with age. In order to establish a relationship between the increasing weights that is observed along with the aging process among the humans, there are few variables that are developed for deriving the regression analysis as well as correlation analysis of the same.

Impact of age on increasing weight

There are many factors that are affecting the weight factor when a person crosses the age of 40. These factors have been mentioned below:

Regression:

It refers to the development of an independent variable that consists of the aging process and the dependent variable would be the increase or changes in weight. The changes in weight serves to be the formulation of the dependent variable. In such case, there is a direct relation obtained that is shown in the following graph. There is linear kind of relationship developed between the two variables and there is a presence of the model parameters between the variables (ABYSS.UOREGON.EDU, 2016). It can be observed that through readings that are developed on the basis of the aging process and the changes in weight that are observed in individuals (Lewis, et al., 2000).

From the above chart that displays the regression analysis that is based on two variables that is aging itself and the increase in weight. Here, aging is an independent variable, whereas increase in weight is a dependent variable. It somewhat depends on the process of aging as well as other such factors that are related to the reducing of the physical activities and other kinds of problems that occur once an individual crosses the age of 40. It is due to the increasing comfort that is obtained through various means that reduces the movements of the body and involves carrying repetitive tasks continuously. There is a decline in the increasing trend of weights that is observed between 60 – 70 years as shown in the above figure. However, it resumes the increasing trend after 70 years. These factors show that there are many food habits and lifestyle habits that are to be controlled while an individual is aging.

Correlation:

There are two variables that are developed for analysis in the Correlation model. It consists of developing of linear relationship between the two variables. The two variables are connected through a correlation coefficient. The values of this correlation coefficients tend to be -1 to +1. When there is a positive linear relationship, the correlation coefficient will be +1; whereas, on the other hand, when there is a negative relationship between the variables, the correlation coefficient would be -1. When the value of the correlation coefficient is 0, there would not be any kind of linear relationship between the two variables (ABYSS.UOREGON.EDU, 2016).

One such kind of correlation analysis has been carried out in the following graph where the two variables are the number of hours for which the physical exercise is carried out and the changes in weight that is observed in individuals (Dziura, De Leon, Kasl, & DiPietro, 2004). It has been shown in the following graph through a linear model:

It can be observed from the trends that are obtained in the graph that with an increase in the number of hours for which physical exercise is carried out, there is a constant decrease in the weight of the person. It is shown through the two trajectories that are developed in the above graph. However, after a steady increase in the number of exercise for about 4 years, there is a very less amount of decrease in weight in the 5th year. This is because excessive exercise can lead to various other health related diseases and disorders as a result of which the person would have to take rest and their weight would not reduce like the way it used to through physical exercise.

Conclusions

Thus, it can be seen with the increasing age, there are many activities that are to be performed like walking for minimum 30 minutes during the day. It also involves controlling the taste buds and adapting to healthy living habits that involve development of various factors that are based on the projection of healthy living across the entire lifestyle that is adopted by the individuals. The two variables that are interdependent as seen in the regression model, it can be observed that there is a steady increase in weight with the increase in age. However, there is a slight decline in the trend between the age of 60-70 years when there is a slight decrease in the weight as compared to the previous weight that has been prevailing in the previous years. It is also observed through the correlation model that there is a linear relationship developed between the amounts of physical exercise performed to the changes in weights of the people. There is a steady decrease in the weight with a stable increase in the number of hours for which the physical exercise is carried out. The relationship helps in obtaining that there should be a continuous time table developed for performing physical exercises on regular basis after one has reached 40 years as there is a depletion in the stamina and capacity of a person to do work and carry other activities that involves physical strain.

Recommendations

Thus, it can be recommended that people should be aware about their body and the changes that are occurring or going to occur in their body post heir 40’s. It has to be undertaken seriously during aging, in order to control the effects that it has on the weight of the individuals. It is due to these factors that an individual derives their fitness and established a healthy environment and a healthy life for him. It consists of the elements that are observed within the body that are to be controlled and mastered through a strong will and discipline in the life style that is adopted by the individuals.

References

ABYSS.UOREGON.EDU. (2016). Regression and correlation analysis:. Retrieved from http://abyss.uoregon.edu: http://abyss.uoregon.edu/~js/glossary/correlation.html

Dziura, J., De Leon, C. M., Kasl, S., & DiPietro, L. (2004). Can physical activity attenuate aging-related weight loss in older people? The Yale Health and Aging Study, 1982–1994. . American journal of epidemiology, 159(8), , 759-767.

Lewis, C. E., McCreath, H., Kiefe, C. I., Schreiner, P. J., Smith, D. E., & Williams, O. D. (2000). Weight gain continues in the 1990s: 10-year trends in weight and overweight from the CARDIA study. . American journal of epidemiology, 151(12), 1172-1181.