A regression model is used to forecast sales based on advertising dollars spent. The intercept is $500 and the slope is $35. The R-squared value is 0.90. Which is the best statement about this forecasting model?

The correlation coefficient between sales and advertising is 0.81.

For every $1 spent on advertising, sales are predicted to increase by $500.

For every $35 spent on advertising, sales are predicted to increase by $1.

Even if no money is spent on advertising, the company realizes $500 of sales.

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