Is my write up correct. Need helping explain #6 and null hypothese

Pearson Correlation

In this exercise, we want to know how car weight and fuel consumption are related. We expect that a heavier car will run fewer miles per gallon.

1. State your null and alternative hypotheses.
2. Use the plotting tab to create a scatterplot of weight (on the x axis) and miles_per_gallon (on the y-axis) with a regression line enabled.
3. Run a Pearson Correlation between weight and miles_per_gallon.
4. If Figure 1 appears to roughly fit a straight line, you can delete the linearity assumption section.
5. Report the correlation (r), p-value, 95% confidence interval, and effect size. Did you reject or fail to reject the null hypothesis? ** Need help with this
6. Leave the correlation table,

Below is my write up, below and I need a null hypothesis

Results

Pearson Correlation Analysis

Introduction

A Pearson correlation analysis was conducted between miles_per_gallon and weight. Cohen's standard was used to evaluate the strength of the relationship, where coefficients between .10 and .29 represent a small effect size, coefficients between .30 and .49 represent a moderate effect size, and coefficients above .50 indicate a large effect size (Cohen, 1988).

Figure 1

Scatterplots with the regression line added for miles_per_gallon and weight