Estimate the mean and the 95 % confidence interval.

If someone uses the equation (y= -20.5893(x) + 24.3929) to predict the percentage of weeds killed when 2.6 teaspoons of weed killer are used, which would the following would you expect?•the prediction will be too high •the prediction will be too low •a prediction cannot be made Explain your reasoning.

You are testing the claim that the proportion of men who own cats is significantly different than the proportion of women who own cats.You sample 70 men, and 25% own cats.You sample 130 women, and 70% own cats.Find p¯ (p-bar), as a decimal, rounded to two decimal places.

Compute the indicated quantity. P(A|B) = 0.5, P(A n B) = 0.4. Find P(B). P(B) Enter a number.

Find the value of the test statistic z The claim is that the proportion of drowning deaths of children attributable to beaches is more than​ 0.25, and the sample statistics include nequals=696 drowning deaths of children with​ 30% of them attributable to beaches.

You want to estimate the percentage of statistics students who get grades of C or better. How many students should you survey to be 95% confident that the sample percentage is off by no more than 2 percentage points.

You are testing the claim that the proportion of men who own cats is larger than the proportion of women who own cats.You sample 150 men, and 80% own cats.You sample 190 women, and 55% own cats.Find p¯ (p-bar), as a decimal, rounded to two decimal places.

r= -0. 8839 (e) Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained?  r2 =   explained       % unexplained

In regression analysis, the coefficient of determination R2 measures the amount of variation in y that is:

The first picture is the question and the second is the ones that I need help with. Thanks