I need help with a, b and d
Unitary Method
The word “unitary” comes from the word “unit”, which means a single and complete entity. In this method, we find the value of a unit product from the given number of products, and then we solve for the other number of products.
Speed, Time, and Distance
Imagine you and 3 of your friends are planning to go to the playground at 6 in the evening. Your house is one mile away from the playground and one of your friends named Jim must start at 5 pm to reach the playground by walk. The other two friends are 3 miles away.
Profit and Loss
The amount earned or lost on the sale of one or more items is referred to as the profit or loss on that item.
Units and Measurements
Measurements and comparisons are the foundation of science and engineering. We, therefore, need rules that tell us how things are measured and compared. For these measurements and comparisons, we perform certain experiments, and we will need the experiments to set up the devices.
![### Relationship Between Phone Usage and Woman's Weight
**Research Question:**
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below.
**Data Table:**
| | Time (minutes/day) | Weight (pounds) |
|-----|--------------------|------------------|
| 1 | 81 | 119 |
| 2 | 52 | 119 |
| 3 | 52 | 116 |
| 4 | 64 | 117 |
| 5 | 62 | 128 |
| 6 | 23 | 105 |
| 7 | 36 | 116 |
| 8 | 30 | 105 |
**Questions:**
**a. Find the correlation coefficient: \( r = \)**
Round to 2 decimal places.
**b. The null and alternative hypotheses for correlation are:**
\[ H_0: r = 0 \]
\[ H_1: r \neq 0 \]
The p-value is: \_\_\_\_ (Round to four decimal places)
**c. Use a level of significance of \( \alpha = 0.05 \) to state the conclusion of the hypothesis test in the context of the study.**
- [ ] There is statistically significant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the regression line is useful.
- [ ] There is statistically significant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.
- [ ] There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate.
- [ ] There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone.
**d. \( r^2 = \)**
(Round to two decimal places)
**e. Interpret \( r^2 \):**
- [ ] There is a 56% chance that the regression line will be a good predictor for women's weight based on their time](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F429495fa-514f-4d6e-b279-1e2d20094f9e%2F7f235c54-89c6-463b-9d48-0337e354262e%2Fzuf1m1ep_processed.jpeg&w=3840&q=75)
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