Hiii, I would love it if you can help me with these! I tried my best but it's really hard and I don't understand this.

Mathematics

2 answers:

BigorU [14]2 years ago

6 0

Hi!

3. Maria bought 5 bottles of juice, each being 750 milliliters. She bought 3,750 milliliters of juice in total (750 x 5 = 3750). 3750 milliliters is equal to 3.75 liters. Lori bough 4 liters of juice. So, the correct sentence is A. Lori bought 0.25 liter more juice than Maria.

4. The trail is 3 $\frac{1}{4}$ miles long. Converted to feet, 3 $\frac{1}{4}$ miles is 17,160 feet. Your answer would be D.

Hope this helps! I would appreciate brainliest, if not that's okay!!

AveGali [126]2 years ago

5 0

Answer:

3rd Answer =Option A is the Correct Answer

Step-by-step explanation:

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Suppose John is a high school statistics teacher who believes that watching many hours of TV leads to lower test scores. Immedia

Hatshy [7]

This question is incomplete, the complete question is;

Suppose John is a high school statistics teacher who believes that watching many hours of TV leads to lower test scores. Immediately after giving the most recent test, he surveyed each of the 24 students in his class and asked them how many hours of TV they watched that week. He then matched each student's test grade with his or her survey response. After compiling the data, he used hours of TV watched to predict each student's test score. He found the least-squares regression line to be y" = -1.5x + 85.

He also calculated that the value of r, the correlation, was -0.61.

what is the correct value of the coefficient of determination R² and give a correct interpretation of its meaning

Answer:

Interpretation of coefficient of determination R² = 0.3721

R² = 0.3721, meaning 37.21% of the total variation in test scores can be explained by the least square regression line

Step-by-step explanation:

Given the data in the question;

the least square regression line is;

y" = -1.5x + 85

the correlation coefficient r = -0.61

Now, the coefficient of determination R² is square of correlation coefficient r

R² = -61²