For this assignment, prepare a dialog between you as the psychologist and the client presented in the case below. Presentation or dialog should apply a psychotherapy theory based on a client's histories and presenting problems.
For this assignment, prepare a dialog between you as the psychologist and the client presented in the case below. Presentation or dialog should apply a psychotherapy theory based on a client's histories and presenting problems.

Home-work 1 : Time series modelling for business Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks) Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks) Prepare a lm() model. Use abline() function to show the linear relationship between the variables.

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Home-work 1 : Time series modelling for business Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks) Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks) Prepare a lm() model. Use abline() function to show the linear relationship between the variables.

Home-work 1 : Time series modelling for business Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks) Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks) Prepare a lm() model. Use abline() function to show the linear relationship between the variables. Perform multiple regression on LungCap dataset using the dependent variables Age, Height and independent variable as LungCap. (5 marks) Provide a lm() model in the code, Provide with the summary of the model. Use mouse.dataset (The dataset in given below, please execute it in R Studio). (5 marks) mouse.data = data.frame( size = c(1.4, 2.6, 1.0, 3.7, 5.5, 3.2, 3.0, 4.9, 6.3), weight = c(0.9, 1.8, 2.4, 3.5, 3.9, 4.4, 5.1, 5.6, 6.3), tail = c(0.7, 1.3, 0.7, 2.0, 3.6, 3.0, 2.9, 3.9, 4.0)) Perform

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Home-work 1 : Time series modelling for business Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks) Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks) Prepare a lm() model. Use abline() function to show the linear relationship between the variables.

This product contains a professionally prepared paper for “Home-work 1 : Time series modelling for business Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks) Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks) Prepare a lm() model. Use abline() function to show the linear relationship between the variables.”.

Home-work 1 : Time series modelling for business

  1. Plot the scatter plot for Age & Lung Cap variables from the Lung Cap Data set. (5 marks)

  1. Perform simple linear regression on any one of the variables from LungCap Data. Keep the independent variable LungCap as a fixed variable. (5 marks)

    • Prepare a lm() model.

    • Use abline() function to show the linear relationship between the variables.

  1. Perform multiple regression on LungCap dataset using the dependent variables Age, Height and independent variable as LungCap. (5 marks)

    • Provide a lm() model in the code,

    • Provide with the summary of the model.

  1. Use mouse.dataset (The dataset in given below, please execute it in R Studio). (5 marks)

mouse.data = data.frame(

size = c(1.4, 2.6, 1.0, 3.7, 5.5, 3.2, 3.0, 4.9, 6.3),

weight = c(0.9, 1.8, 2.4, 3.5, 3.9, 4.4, 5.1, 5.6, 6.3),

tail = c(0.7, 1.3, 0.7, 2.0, 3.6, 3.0, 2.9, 3.9, 4.0))

    • Perform multiple regression on the dataset and also provide with the summary output.

  1. Explain Time series regression models in your own words. (5 marks)

  1. Explain correlation and auto-correlation. (5 marks)

Related: explain the implications which can be drawn regarding the population of juvenile sexual offenders. Be sure to answer the following questions in your paper: A summary of current research and data relating to this unique population What theories or explanations can best be used to understand these individuals and their behavior? Does the term “juvenile sex offenders” contribute to moral panic? Why or why not? Incorporate at least five additional concepts from your textbook and underline each concept

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