Like a parabola. Not "like": it would be.
A straight line, through the origin, sloping up from left to right. The gradient of the graph will be the constant of proportionality.
To describe a relationship given a graph, one can analyze the key features such as the shape of the graph (linear, quadratic, exponential), the direction of the trend (increasing, decreasing, constant), and any notable points (intercepts, maxima, minima). Conversely, to sketch a graph from a description, you identify the type of relationship (e.g., linear, polynomial) and its characteristics, like slopes or curvature, and then plot key points and features based on that information. Using these details, you can create an accurate representation that reflects the described relationship.
i would put different colors on the graph or i will put the sports on one side and the number of students who like that sport on the graph
Oh, dude, let me break it down for you. So, like, a direct proportion means as one variable increases, the other also increases at a constant rate. And guess what? If you start at the origin (0,0) on a graph, that's like ground zero, where all the action begins. So yeah, a direct proportion totally passes through the origin on a graph. Cool, right?
Straight line.
Like a parabola. Not "like": it would be.
straight line
A linear graph has an equation that looks like y=mx. Boyle's Law: PV = C (where C is a constant much like m is constant in the equation above) If you want to plot V on the y axis, you would solve for V: V = C/P You can see that P, the variable to be plotted on the x axis is in the denominator, meaning it is of the form y = m/x not y=mx. It is an inverse relationship, not a direct linear relationship. This will give you a curve in quadrant 1 that asymptotically approaches the y and x axes.
A straight line, through the origin, sloping up from left to right. The gradient of the graph will be the constant of proportionality.
A quadratic relationship is a mathematical relationship that can be expressed by a quadratic formula in which the highest exponent is two (i.e., x squared). On a graph, this relationship will look like a parabola.
A rather random zig-zag, probably.
If two variables are inversely related, then a graph showing their relationship should be shaped like a hyperbola. A hyperbola will start out really high, drop a lot in a short distance, then drop less and less as the graph goes further to the right. It looks similar to an exponential decay function, but less extreme. Here is an example of what one could look like: http://www.wolframalpha.com/input/?i=1%2F4x (In most practical applications, only the right side of the graph would be shown.)
In B2B, relationships drive revenue. But unlike B2C, where signals are instant (likes, shares, purchases), B2B relationships evolve slowly and need to be monitored carefully. Relationship signals are behavioral cues that show how interested, engaged, or loyal a prospect or client is. These subtle signals can help you predict deals, reduce churn, and build stronger partnerships. Common Relationship Signals B2B Companies Should Track Email Engagement Is the contact opening your emails? Are they clicking on links or forwarding it internally? Website & Platform Visits Has the buyer recently checked your product pages or price lists? Are they revisiting technical documents or blog posts? More activity = stronger consideration phase. Lead Behavior on Sales Platforms (like Pepagora) Are they shortlisting your products? Have they filled out a contact form or requested a quote? Do they regularly visit your listings? Reply Time & Tone in Communication Do they respond quickly to your follow-ups? Has the tone shifted from casual to specific (e.g., asking about MOQs, lead times)? Involvement of More Stakeholders Are new decision-makers or departments looped into calls/emails? Is the purchasing or technical team getting involved? Post-Purchase Interaction Are they submitting feedback, asking for customization, or asking for reorder details? Are they tagging your brand or referring you to others? Repeat interest means they’re satisfied and possibly a long-term account. Why These Signals Matter Tracking relationship signals helps you: Prioritize hot leads Know when to follow up or pause Reduce customer churn Improve customer experience Instead of guessing, you're acting on data-backed relationship health. Who viewed your listings How often buyers engage What products get traction What leads are converting That insight helps you make smarter decisions without wasting time on cold leads. Relationship signals are the digital body language of your buyers. If you watch closely, you’ll close smarter, faster, and more confidently. Want to start tracking real B2B interest without complex tools? List your business on Pepagora and unlock buyer insights that drive better relationships.
To describe a relationship given a graph, one can analyze the key features such as the shape of the graph (linear, quadratic, exponential), the direction of the trend (increasing, decreasing, constant), and any notable points (intercepts, maxima, minima). Conversely, to sketch a graph from a description, you identify the type of relationship (e.g., linear, polynomial) and its characteristics, like slopes or curvature, and then plot key points and features based on that information. Using these details, you can create an accurate representation that reflects the described relationship.
i would put different colors on the graph or i will put the sports on one side and the number of students who like that sport on the graph
It's a slanted straight line that goes through the origin of the coordinates.